Informačná stránka zamestnanca SAV

Publikačná činnosť

Mgr. Martin Bobák, PhD.

Publikačná činnosť obsahuje údaje z on-line databázy Ústrednej Knižnice SAV.

Zvoľte si rok/kategóriu pre výpis publikácií:

BOBÁK, Martin - HLUCHÝ, Ladislav - TRAN, Viet. General regression in cloud computing. In IEEE 18th International Conference on Intelligent Engineering Systems : INES 2014. - Budapest : IEEE, 2014, p. 21-26. ISBN 978-1-4799-4616-7. Dostupné na: https://doi.org/10.1109/INES.2014.6909380 Typ: ADMB
BOBÁK, Martin - HLUCHÝ, Ladislav - TRAN, Viet. Abstract model of k-Cloud computing. In FSKD 2014 : 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery. - Danvers : IEEE, 2014, p. 721-725. ISBN 978-1-4799-5147-5. Dostupné na: https://doi.org/10.1109/FSKD.2014.6980922 (International Conference on Fuzzy Systems and Knowledge Discovery : FSKD 2014) Typ: ADMB
BOBÁK, Martin - TRAN, Viet. OpenStack: cloudová platforma typu IaaS [OpenStack: an IaaS Cloud Platform]. In WIKT 2014 : 9th Workshop on Intelligent and Knowledge Oriented Technologies. Eds. Hluchý, L., Bieliková, M., Paralič, J. - Bratislava : Nakladateľstvo STU, 2014, p. 130-135. ISBN 978-80-227-4267-2. Typ: AED
BOBÁK, Martin - HLUCHÝ, Ladislav - TRAN, Viet. Methodology for intercloud multicriteria optimization. In 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery : FSKD 2015. - Zhangjiajie, China : IEEE, 2015, proceedengs, p. 1786-1791. ISBN 978-1-4673-7682-2. Dostupné na: https://doi.org/10.1109/FSKD.2015.7382217 (International Conference on Fuzzy Systems and Knowledge Discovery : FSKD 2015) Typ: ADMB
BOBÁK, Martin - HLUCHÝ, Ladislav - TRAN, Viet. Tailored platform as cloud service. In SISY 2015 : IEEE 13th International Symposium on Intelligent Systems and Informatics. - New York : IEEE, 2015, p. 43-48. ISBN 978-1-4673-9388-1. ISSN 1949-047X. Dostupné na: https://doi.org/10.1109/SISY.2015.7325408 (SISY 2015 : IEEE 13th International Symposium on Intelligent Systems and Informatics) Typ: ADMB
Citácie:
[1.1] CZEPA, Christoph - ZDUN, Uwe. On the Understandability of Temporal Properties Formalized in Linear Temporal Logic, Property Specification Patterns and Event Processing Language. In IEEE TRANSACTIONS ON SOFTWARE ENGINEERING. ISSN 0098-5589, 2020, vol. 46, no. 1, pp. 100-112., Registrované v: WOS
[1.2] AVILA, Oscar - PAEZ, Cristian - CORREAL, Dario. Towards a maturity model for cloud service customizing. In Communications in Computer and Information Science. ISSN 18650929, 2019-01-01, 1051 CCIS, pp. 282-294., Registrované v: SCOPUS
[1.2] MISHRA, Kamta Nath - CHAKRABORTY, Chinmay. A Novel Approach Toward Enhancing the Quality of Life in Smart Cities Using Clouds and IoT-Based Technologies. In Internet of Things. ISSN 21991073, 2020-01-01, pp. 19-35., Registrované v: SCOPUS
[1.2] PAEZ, Cristian - AVILA, Oscar - CORREAL, Dario. Towards cloud service customization: A state of the art. In ICETE 2018 Proceedings of the 15th International Joint Conference on e-Business and Telecommunications, 2018-01-01, 1, pp. 205-212., Registrované v: SCOPUS
BOBÁK, Martin - HLUCHÝ, Ladislav - TRAN, Viet. Optimalizácia výkonu aplikácií v multicloudovom prostredí [Optimization of Application Performance in Multicloud Environment]. In WIKT 2015 : 10th Workshop on Intelligent and Knowledge Oriented Technologies. Eds. Babič, F., Paralič, J. - Košice : TU Košice, 2015, p. 67-70. ISBN 978-80-553-2271-1. Typ: AFD
BOBÁK, Martin - HLUCHÝ, Ladislav - TRAN, Viet. Application performance optimization in multicloud environment. In Computing and informatics, 2016, vol. 35, no. 6, p. 1359-1385. (2015: 0.524 - IF, Q4 - JCR, 0.255 - SJR, Q3 - SJR, karentované - CCC). (2016 - Current Contents). ISSN 1335-9150. Typ: ADDA
Citácie:
[2.1] BEZERRA, Petronio - SANTOS, Marcela - ALVES, Edlane - COSTA, Anderson - ALBUQUERQUE, Fellype - MARTINS, Gustavo - GOMES, Reinaldo. AN EXPERIMENTAL STUDY ON VIRTUAL MACHINE LIVE MIGRATION IMPACT ON SERVICES PERFORMANCE. In COMPUTING AND INFORMATICS. ISSN 1335-9150, 2019, vol. 38, no. 2, pp. 291-320., Registrované v: WOS
[2.1] MRNCO, Ivan - BLSTAK, Peter - HUDEC, Peter - KOCHAN, Matej - GIBALA, Tomas - HABALA, Ondrej. APPLICATION OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGIES IN A LOCAL FLOOD WARNING SYSTEM. In COMPUTING AND INFORMATICS. ISSN 1335-9150, 2018, vol. 37, no. 6, pp. 1516-1535., Registrované v: WOS
[3.1] SUGUMAR, R. - RAJESH, A. Performance analysis and evaluation of multi-cloud systems. In i-manager's Journal on Cloud Computing (JCC). ISSN 2349-6835, 2019, vol. 6, no. 1, pp. 36-42.
BOBÁK, Martin. Optimalizácia výkonu aplikácií v multicloudovom prostredí : dizertačná práca (PhD.). Bratislava, 2017. 126 p. Typ: DAI
HLUCHÝ, Ladislav - BOBÁK, Martin - DLUGOLINSKÝ, Štefan - HABALA, Ondrej - NGUYEN, Giang - ŠELENG, Martin - TRAN, Viet - PANCAKE-STEEG, Jörg - SPAHR, Stefan - VOR DEM GENTSCHEN FELDE, Nils Otto - HEIKKURINEN, Matti - HÖB, Maximilian - SCHMIDT, Jan - GRAZIANI, Mara - MÜLLER, Henning - MAASSEN, Jason - SPREEUW, Hanno - BELLOUM, Adam S.Z. - CUSHING, Reginald - RAHMANIAN, A. - BUBAK, Marian - MEIZNER, Jan - NOWAKOWSKI, Piotr - RYCERZ, Katarzyna - WILK, Bartosz. Initial state of the art and requirement analysis, initial PROCESS architecture : Deliverable D4.1. 2018. 163 p. Dostupné na internete: http://www.process-project.eu/wp-content/uploads/2020/02/PUBLIC_PROCESS_D4.1_Initial_-state_of_the_art_and_requirement_analysis_initial_PROCESS_architecture_v1-1.pdf Typ: GHG
NGUYEN, Giang - BOBÁK, Martin - HLUCHÝ, Ladislav. Geospatial preprocessing for situational assessment through hydraulic simulations. In 13th international conference on natural computation, fuzzy systems and knowledge discovery : ICNC-FSKD 2017. - Guilin, China : IEEE, 2017, p. 2429-2435. ISBN 978-1-5386-2164-6. Dostupné na: https://doi.org/10.1109/FSKD.2017.8393154 (ICNC-FSKD 2017 : 13th international conference on natural computation, fuzzy systems and knowledge discovery) Typ: ADMB
Citácie:
[2.1] MRNCO, Ivan - BLSTAK, Peter - HUDEC, Peter - KOCHAN, Matej - GIBALA, Tomas - HABALA, Ondrej. APPLICATION OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGIES IN A LOCAL FLOOD WARNING SYSTEM. In COMPUTING AND INFORMATICS. ISSN 1335-9150, 2018, vol. 37, no. 6, pp. 1516-1535., Registrované v: WOS
[3.1] ASWAD, N. - NAWAL, M. - BUNDELE, M. - SURI, P. Leakage detection through HL in gurthali water supply distribution network using EPANET. In International Journal of Innovative Technology and Exploring Engineering (IJITEE). 2020, vol. 9, no. 3, pp. 3558-3565. doi: 10.35940/ijitee.B7393.019320.
[3.1] NEERAJ, M.N. - BUNDELE, M. - SURI, P.K. Design and implement a real network in EPANET tool and detect leak through head loss. In International Journal of Modern Agriculture. ISSN 2305-7246, 2021, vol. 10, no. 2, pp. 4518-4528.
BOBÁK, Martin - BELLOUM, Adam S.Z. - NOWAKOWSKI, Piotr - MEIZNER, Jan - BUBAK, Marian - HEIKKURINEN, Matti - HABALA, Ondrej - HLUCHÝ, Ladislav. Exascale computing and data architectures for brownfield applications. In ICNC-FSKD 2018 : 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery. - Huangshan, China : IEEE, 2018, p. 461-468. ISBN 978-1-5386-8097-1. Dostupné na: https://doi.org/10.1109/FSKD.2018.8686900 (ICNC-FSKD 2018 : 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery) Typ: ADMB
Citácie:
[1.1] WANG, Y.D. - JANSE, N. - BIANCHI, R. - KOULOUZIS, S. - ZHAO, Z.M. Towards a Service-based Adaptable Data Layer for Cloud Workflows. In 2023 IEEE 47TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE, COMPSAC. ISSN 0730-3157, 2023, p. 904-911. Dostupné na: https://doi.org/10.1109/COMPSAC57700.2023.00121, Registrované v: WOS
BOBÁK, Martin - HLUCHÝ, Ladislav - GRAZIANI, Mara - MÜLLER, Henning. Machine learning in medical imaging. In 1st international conference on new research and development in technical and natural science : ICNRDTNS. Editor: Matej Babič. - Podgradje : Complex System Company, s.p., 2019, p. 37-40. ISBN 978-961-290-461-6. (ICNRDTNS : 1st International conference on new research and development in technical and natural science) Typ: AFC
HLUCHÝ, Ladislav - BOBÁK, Martin - TRAN, Viet - SOMOSKÖI, Balázs - HEIKKURINEN, Matti - HÖB, Maximilian - SCHMIDT, Jan - GRAZIANI, Mara - MÜLLER, Henning - MAASSEN, Jason - SPREEUW, Hanno - MADOUGOU, Souley - BELLOUM, Adam S.Z. - CUSHING, Reginald - MEIZNER, Jan - NOWAKOWSKI, Piotr. Updated requirements analysis, validation of 1st prototype, and updated PROCESS architecture : Deliverable D4.3. 2019. 35 p. Dostupné na internete: https://www.process-project.eu/wp-content/uploads/2020/02/PROCESS_D4.3_UpdatedRequirementsAnalysis_v1.0.pdf Typ: GHG
HLUCHÝ, Ladislav - HÖB, Maximilian - SCHMIDT, Jan - BELLOUM, Adam S.Z. - CUSHING, Reginald - SPREEUW, Hanno - MAASSEN, Jason - GRAZIANI, Mara - MÜLLER, Henning - SOMOSKÖI, Balázs - PANCAKE-STEEG, Jörg - BOBÁK, Martin - HABALA, Ondrej - ŠELENG, Martin - MEIZNER, Jan. Alpha release of the data service : Deliverable D5.2. 2019. 32 p. Dostupné na internete: https://www.process-project.eu/wp-content/uploads/2020/02/PROCESS_D5.2_Alpha_release_of_the_Data_service_v1.0.pdf Typ: GHG
HLUCHÝ, Ladislav - BOBÁK, Martin - MAASSEN, Jason - SPREEUW, Hanno. Reduction of radio astronomical observations to sky maps as an example of exascale data service. In 13th International Workshop on Parallel Numerics (ParNum 2019). - Dubrovnik, Croatia, 2019, p. 20-21. Dostupné na internete: https://www.fsb.unizg.hr/parnum2019/abs_book_web.pdf Typ: GII
NGUYEN, Giang** - DLUGOLINSKÝ, Štefan - BOBÁK, Martin - TRAN, Viet - LÓPEZ GARCÍA, Álvaro - HEREDIA, Ignacio - MALÍK, Peter - HLUCHÝ, Ladislav. Machine learning and deep learning frameworks and libraries for large-scale data mining: a survey. In Artificial Intelligence Review, 2019, vol. 52, no. 1, p. 77-124. (2018: 5.095 - IF, Q1 - JCR, 1.055 - SJR, Q1 - SJR, karentované - CCC). (2019 - Current Contents). ISSN 0269-2821. Dostupné na: https://doi.org/10.1007/s10462-018-09679-z Typ: ADCA
Citácie:
[1.1] ABDELHAMID, Abdelaziz A. - ALOTAIBI, Sultan R. Deep Investigation of Machine Learning Techniques for Optimizing the Parameters of Microstrip Antennas. In INTERNATIONAL TRANSACTION JOURNAL OF ENGINEERING MANAGEMENT & APPLIED SCIENCES & TECHNOLOGIES, 2021, vol. 12, no. 13, pp. ISSN 2228-9860. Dostupné na: https://doi.org/10.14456/ITJEMAST.2021.266, Registrované v: WOS
[1.1] AHMADI, Kourosh Dadashtabar - RASHIDI, Ali Jabar - MOGHRI, Ali Massomi. Design and simulation of autonomous military vehicle control system based on machine vision and ensemble movement approach. In JOURNAL OF SUPERCOMPUTING, 2022, vol. 78, no. 15, pp. 17309-17347. ISSN 0920-8542. Dostupné na: https://doi.org/10.1007/s11227-022-04565-6, Registrované v: WOS
[1.1] AHMED, U. - LIN, J.C.W. - FOURNIER-VIGER, P. Federated deep active learning for attention-based transaction classification. In APPLIED INTELLIGENCE. ISSN 0924-669X, APR 2023, vol. 53, no. 8, SI, p. 8631-8643. Dostupné na: https://doi.org/10.1007/s10489-022-04388-1, Registrované v: WOS
[1.1] AHMED, U. - LIN, J.C.W. - SRIVASTAVA, G. Deep Hierarchical Attention Active Learning for Mental Disorder Unlabeled Data in AIoMT. In ACM TRANSACTIONS ON SENSOR NETWORKS. ISSN 1550-4859, AUG 2023, vol. 19, no. 3. Dostupné na: https://doi.org/10.1145/3519304, Registrované v: WOS
[1.1] AHMED, U. - LIN, J.C.W. - SRIVASTAVA, G. Fuzzy Contrast Set Based Deep Attention Network for Lexical Analysis and Mental Health Treatment. In ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING. ISSN 2375-4699, SEP 2022, vol. 21, no. 5. Dostupné na: https://doi.org/10.1145/3506701, Registrované v: WOS
[1.1] AHMED, U. - LIN, J.C.W. - SRIVASTAVA, G. Multi-Aspect Deep Active Attention Network for Healthcare Explainable Adoption. In IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS. ISSN 2168-2194, APR 2023, vol. 27, no. 4, p. 1709-1717. Dostupné na: https://doi.org/10.1109/JBHI.2022.3204633, Registrované v: WOS
[1.1] AHMED, U. - LIN, J.C.W. - SRIVASTAVA, G.S. Hyper-Graph Attention Based Federated Learning Methods for Use in Mental Health Detection. In IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS. ISSN 2168-2194, FEB 2023, vol. 27, no. 2, p. 768-777. Dostupné na: https://doi.org/10.1109/JBHI.2022.3172269, Registrované v: WOS
[1.1] AHMED, Usman - LIN, Jerry Chun-Wei - SRIVASTAVA, Gautam. Deep-Attention Model to Analyze Reliable Customers via Federated Learning. In 2021 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN). ISSN 2161-4393, 2021, vol., no., pp. Dostupné na: https://doi.org/10.1109/IJCNN52387.2021.9533486, Registrované v: WOS
[1.1] AHMED, Usman - LIN, Jerry Chun-Wei - SRIVASTAVA, Gautam. Hyper-graph-based attention curriculum learning using a lexical algorithm for mental health. In PATTERN RECOGNITION LETTERS, 2022, vol. 157, no., pp. 135-143. ISSN 0167-8655. Dostupné na: https://doi.org/10.1016/j.patrec.2022.03.018, Registrované v: WOS
[1.1] AHMED, Usman - LIN, Jerry Chun-Wei - SRIVASTAVA, Gautam. Multi-aspect deep active attention network for healthcare explainable adoption. In IEEE Journal of Biomedical and Health Informatics. ISSN 2168-2194, 2022, vol. 27, no. 4, pp. 1709-1717. Dostupné na: https://doi.org/10.1109/JBHI.2022.3204633, Registrované v: WOS
[1.1] AHMED, Usman - LIN, Jerry Chun-Wei - SRIVASTAVA, Gautam. Social Media Multiaspect Detection by Using Unsupervised Deep Active Attention. In IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, vol., no., pp. ISSN 2329-924X. Dostupné na: https://doi.org/10.1109/TCSS.2022.3183283, Registrované v: WOS
[1.1] AHMED, Usman - MUKHIYA, Suresh Kumar - SRIVASTAVA, Gautam - LAMO, Yngve - LIN, Jerry Chun-Wei. Attention-Based Deep Entropy Active Learning Using Lexical Algorithm for Mental Health Treatment. In FRONTIERS IN PSYCHOLOGY. ISSN 1664-1078, 2021, vol. 12, no., pp., Registrované v: WOS
[1.1] AHMED, Usman - SRIVASTAVA, Gautam - LIN, Jerry Chun-Wei. A Federated Learning Approach to Frequent Itemset Mining in Cyber-Physical Systems. In JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT. ISSN 1064-7570, 2021, vol. 29, no. 4, pp., Registrované v: WOS
[1.1] AHMED, Usman - SRIVASTAVA, Gautam - LIN, Jerry Chun-Wei. Reliable customer analysis using federated learning and exploring deep-attention edge intelligence. In FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE. ISSN 0167-739X, 2022, vol. 127, no., pp. 70-79. Dostupné na: https://doi.org/10.1016/j.future.2021.08.028
[1.1] AHMED, Usman - SRIVASTAVA, Gautam - YUN, Unil - LIN, Jerry Chun-Wei. EANDC: An explainable attention network based deep adaptive clustering model for mental health treatment. In FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2022, vol. 130, no., pp. 106-113. ISSN 0167-739X. Dostupné na: https://doi.org/10.1016/j.future.2021.12.008, Registrované v: WOS
[1.1] AKHMETSHIN, Elvir Munirovich - VASILEV, Vladimir Lvovich - KOZACHEK, Artemiy Vladimirovich - MESHKOVA, Galina Vladimirovna - ALEXANDROVA, Tatyana Nikolaevna. Analysis of Peculiarities of Using Digital Technologies in the University Professional Training Content. In INTERNATIONAL JOURNAL OF EMERGING TECHNOLOGIES IN LEARNING, 2021, vol. 16, no. 20, pp. 101-118. Dostupné na: https://doi.org/10.3991/ijet.v16i20.24245, Registrované v: WOS
[1.1] ALHARBI, A. - PETRUNIN, I. - PANAGIOTAKOPOULOS, D. Deep Learning Architecture for UAV Traffic-Density Prediction. In DRONES. FEB 2023, vol. 7, no. 2. Dostupné na: https://doi.org/10.3390/drones7020078, Registrované v: WOS
[1.1] ALIBABAEI, Khadijeh - GASPAR, Pedro D. - ASSUNCAO, Eduardo - ALIREZAZADEH, Saeid - LIMA, Tania M. - SOARES, Vasco N. G. J. - CALDEIRA, Joao M. L. P. Comparison of On-Policy Deep Reinforcement Learning A2C with Off-Policy DQN in Irrigation Optimization: A Case Study at a Site in Portugal. In COMPUTERS, 2022, vol. 11, no. 7, pp. ISSN 2073-431X. Dostupné na: https://doi.org/10.3390/computers11070104, Registrované v: WOS
[1.1] ALIBABAEI, Khadijeh - GASPAR, Pedro D. - ASSUNCAO, Eduardo - ALIREZAZADEH, Saeid - LIMA, Tania M. Irrigation optimization with a deep reinforcement learning model: Case study on a site in Portugal. In AGRICULTURAL WATER MANAGEMENT, 2022, vol. 263, no., pp. ISSN 0378-3774. Dostupné na: https://doi.org/10.1016/j.agwat.2022.107480, Registrované v: WOS
[1.1] ALIBABAEI, Khadijeh - GASPAR, Pedro D. - LIMA, Tania M. - CAMPOS, Rebeca M. - GIRAO, Ines - MONTEIRO, Jorge - LOPES, Carlos M. A Review of the Challenges of Using Deep Learning Algorithms to Support Decision-Making in Agricultural Activities. In REMOTE SENSING, 2022, vol. 14, no. 3, pp. Dostupné na: https://doi.org/10.3390/rs14030638, Registrované v: WOS
[1.1] ALIBABAEI, Khadijeh - GASPAR, Pedro D. - LIMA, Tania M. Crop Yield Estimation Using Deep Learning Based on Climate Big Data and Irrigation Scheduling. In ENERGIES, 2021, vol. 14, no. 11, pp., Registrované v: WOS
[1.1] ALIZAMIR, Meysam - KIM, Sungwon - ZOUNEMAT-KERMANI, Mohammad - HEDDAM, Salim - SHAHRABADI, Amin Hasanalipour - GHARABAGHI, Bahram. Modelling daily soil temperature by hydro-meteorological data at different depths using a novel data-intelligence model: deep echo state network model. In ARTIFICIAL INTELLIGENCE REVIEW. ISSN 0269-2821, 2020, vol., no., pp., Registrované v: WOS
[1.1] ALMUTAIRI, M.S. - ALMUTAIRI, K. - CHIROMA, H. Hybrid of deep recurrent network and long short term memory for rear-end collision detection in fog based internet of vehicles. In EXPERT SYSTEMS WITH APPLICATIONS. ISSN 0957-4174, MAR 1 2023, vol. 213, C. Dostupné na: https://doi.org/10.1016/j.eswa.2022.119033, Registrované v: WOS
[1.1] ALODAT, Mohammad. Using Deep Learning Model for Adapting and Managing COVID-19 Pandemic Crisis. In 12TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT) / THE 4TH INTERNATIONAL CONFERENCE ON EMERGING DATA AND INDUSTRY 4.0 (EDI40) / AFFILIATED WORKSHOPS. ISSN 1877-0509, 2021, vol. 184, no., pp. 558-564., Registrované v: WOS
[1.1] ALSHEHRI, Abdulelah S. - YOU, Fengqi. Deep learning to catalyze inverse molecular design. In CHEMICAL ENGINEERING JOURNAL, 2022, vol. 444, no., pp. ISSN 1385-8947. Dostupné na: https://doi.org/10.1016/j.cej.2022.136669, Registrované v: WOS
[1.1] ALSTETE, Jeffrey W. - MEYER, John P. Intelligent agent-assisted organizational memory in knowledge management systems. In VINE JOURNAL OF INFORMATION AND KNOWLEDGE MANAGEMENT SYSTEMS. ISSN 2059-5891, 2020, vol., no., pp., Registrované v: WOS
[1.1] ALVES, Tiago A. O. - FRANCA, Felipe M. G. - KUNDU, Sandip. MLPrivacyGuard: Defeating Confidence Information based Model Inversion Attacks on Machine Learning Systems. In GLSVLSI '19 PROCEEDINGS OF THE 2019 ON GREAT LAKES SYMPOSIUM ON VLSI. ISSN 1066-1395, 2019, vol., no., pp. 411-415., Registrované v: WOS
[1.1] AMIN, Javaria - SHARIF, Muhammad - GUL, Nadia - KADRY, Seifedine - CHAKRABORTY, Chinmay. Quantum Machine Learning Architecture for COVID-19 Classification Based on Synthetic Data Generation Using Conditional Adversarial Neural Network. In COGNITIVE COMPUTATION. ISSN 1866-9956, 2021, vol., no., pp., Registrované v: WOS
[1.1] AMINUDDIN, Zaim Zakwan - HAMZAH, Irni Hamiza - ABD SAMAT, Ahmad Asri - IDRIS, Mohaiyedin - ABD RAHIM, Alhan Farhanah - CHE SOH, Zainal Hisham. An FPGA application of home security code using verilog. In International Journal of Reconfigurable and Embedded Systems, 2022-11-01, 11, 3, pp. 205-214. ISSN 20894864. Dostupné na: https://doi.org/10.11591/ijres.v11.i3.pp205-214, Registrované v: WOS
[1.1] ARGESANU, A.L. - ANDREESCU, G.D. FROM DATA TO DECISIONS: THE IMPORTANCE OF MONITORING ML SYSTEMS IN INDUSTRIAL SETTINGS. In ACTA TECHNICA NAPOCENSIS SERIES-APPLIED MATHEMATICS MECHANICS AND ENGINEERING. ISSN 1221-5872, SEP 2023, vol. 66, no. 3, p. 381-388., Registrované v: WOS
[1.1] ATTRI, I. - AWASTHI, L.K. - SHARMA, T.P. - RATHEE, P. A review of deep learning techniques used in agriculture. In ECOLOGICAL INFORMATICS. ISSN 1574-9541, NOV 2023, vol. 77. Dostupné na: https://doi.org/10.1016/j.ecoinf.2023.102217, Registrované v: WOS
[1.1] AWASTHI, P. - MISHRA, S. - GUPTA, N. Performance Assessment of Machine Learning Techniques for Corn Yield Prediction. In ADVANCED NETWORK TECHNOLOGIES AND INTELLIGENT COMPUTING, ANTIC 2022, PT II. ISSN 1865-0929, 2023, vol. 1798, p. 320-335. Dostupné na: https://doi.org/10.1007/978-3-031-28183-9_23, Registrované v: WOS
[1.1] AZNAN, A. - VIEJO, C.G. - PANG, A. - FUENTES, S. Review of technology advances to assess rice quality traits and consumer perception. In FOOD RESEARCH INTERNATIONAL. ISSN 0963-9969, OCT 2023, vol. 172. Dostupné na: https://doi.org/10.1016/j.foodres.2023.113105, Registrované v: WOS
[1.1] BAI, Chengchao - YAN, Peng - YU, Xiaoqiang - GUO, Jifeng. Learning-based resilience guarantee for multi-UAV collaborative QoS management. In PATTERN RECOGNITION. ISSN 0031-3203, 2022, vol. 122, no., pp. Dostupné na: https://doi.org/10.1016/j.patcog.2021.108166, Registrované v: WOS
[1.1] BALWANT, M. K. A Review on Convolutional Neural Networks for Brain Tumor Segmentation: Methods, Datasets, Libraries, and Future Directions. In IRBM, 2022-12-01, 43, 6, pp. 521-537. ISSN 19590318. Dostupné na: https://doi.org/10.1016/j.irbm.2022.05.002, Registrované v: WOS
[1.1] BANG, R.S. - BERGMAN, M. - LI, T.Y. - MUKHERJEE, F. - ALSHEHRI, A.S. - ABBOTT, N.L. - CROOK, N.C. - VELEV, O.D. - HALL, C.K. - YOU, F.Q. An integrated chemical engineering approach to understanding microplastics. In AICHE JOURNAL. ISSN 0001-1541, APR 2023, vol. 69, no. 4. Dostupné na: https://doi.org/10.1002/aic.18020, Registrované v: WOS
[1.1] BANIECKI, H. - PARZYCH, D. - BIECEK, P. The grammar of interactive explanatory model analysis. In DATA MINING AND KNOWLEDGE DISCOVERY. ISSN 1384-5810, 2023 FEB 14 2023. Dostupné na: https://doi.org/10.1007/s10618-023-00924-w, Registrované v: WOS
[1.1] BARJOUEI, Hossein Shojaei - GHORBANI, Hamzeh - MOHAMADIAN, Nima - WOOD, David A. - DAVOODI, Shadfar - MOGHADASI, Jamshid - SABERI, Hossein. Prediction performance advantages of deep machine learning algorithms for two-phase flow rates through wellhead chokes. In JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION. ISSN 2190-0558, 2021, vol., no., pp., Registrované v: WOS
[1.1] BARRERA-PATIñO, C.P. - SOARES, J.M. - BRANCO, K.C. - INADA, N.M. - BAGNATO, V.S. Spectroscopic Identification of Bacteria Resistance to Antibiotics by Means of Absorption of Specific Biochemical Groups and Special Machine Learning Algorithm. In ANTIBIOTICS-BASEL. ISSN 2079-6382, OCT 2023, vol. 12, no. 10. Dostupné na: https://doi.org/10.3390/antibiotics12101502, Registrované v: WOS
[1.1] BASNET, Ram B. - JOHNSON, Clayton - DOLECK, Tenzin. Dropout prediction in Moocs using deep learning and machine learning. In EDUCATION AND INFORMATION TECHNOLOGIES, 2022, vol. 27, no. 8, pp. 11499-11513. ISSN 1360-2357. Dostupné na: https://doi.org/10.1007/s10639-022-11068-7, Registrované v: WOS
[1.1] BASU, Sautami - AGARWAL, Ravinder - SRIVASTAVA, Vishal. Deep discriminative learning model with calibrated attention map for the automated diagnosis of diffuse large B-cell lymphoma. In BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2022, vol. 76, no., pp. ISSN 1746-8094. Dostupné na: https://doi.org/10.1016/j.bspc.2022.103728, Registrované v: WOS
[1.1] BECKER, Nikolas - WALTL, Bernhard. Auditing and Testing AI A Holistic Framework. In DIGITAL HUMAN MODELING AND APPLICATIONS IN HEALTH, SAFETY, ERGONOMICS AND RISK MANAGEMENT: HEALTH, OPERATIONS MANAGEMENT, AND DESIGN, PT II, 2022, vol. 13320, no., pp. 283-292. ISSN 0302-9743. Dostupné na: https://doi.org/10.1007/978-3-031-06018-2_20, Registrované v: WOS
[1.1] BEN ATITALLAH, Safa - DRISS, Maha - BOULILA, Wadii - BEN GHEZALA, Henda. Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions. In COMPUTER SCIENCE REVIEW. ISSN 1574-0137, 2020, vol. 38, no., pp., Registrované v: WOS
[1.1] BENNI, Benjamin - BLAY-FORNARINO, Mireille - MOSSER, Sebastien - PRECIOSO, Frederic - JUNGBLUTH, Guenther. When DevOps meets Meta-Learning: A portfolio to rule them all. In 2019 ACM/IEEE 22ND INTERNATIONAL CONFERENCE ON MODEL DRIVEN ENGINEERING LANGUAGES AND SYSTEMS COMPANION (MODELS-C 2019), 2019, vol., no., pp. 605-612., Registrované v: WOS
[1.1] BHANDARI, Hum Nath - RIMAL, Binod - POKHREL, Nawa Raj - RIMAL, Ramchandra - DAHAL, Keshab R. LSTM-SDM: An integrated framework of LSTM implementation for sequential data modeling. In SOFTWARE IMPACTS, 2022, vol. 14, no., pp. ISSN 2665-9638. Dostupné na: https://doi.org/10.1016/j.simpa.2022.100396, Registrované v: WOS
[1.1] BISWAS, Sumon - WARDAT, Mohammad - RAJAN, Hridesh. The Art and Practice of Data Science Pipelines. In 2022 ACM/IEEE 44TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE 2022), 2022, vol., no., pp. 2091-2103. ISSN 0270-5257. Dostupné na: https://doi.org/10.1145/3510003.3510057, Registrované v: WOS
[1.1] BOGUSLAWSKI, Pawel - ZLATANOVA, Sisi - GOTLIB, Dariusz - WYSZOMIRSKI, Michał - GNAT, Miłosz - GRZEMPOWSKI, Piotr. 3D building interior modelling for navigation in emergency response applications. In International Journal of Applied Earth Observation and Geoinformation, 2022-11-01, 114, pp. ISSN 15698432. Dostupné na: https://doi.org/10.1016/j.jag.2022.103066, Registrované v: WOS
[1.1] CAI, Wang - WANG, JianZhuang - JIANG, Ping - CAO, LongChao - MI, GaoYang - ZHOU, Qi. Application of sensing techniques and artificial intelligence-based methods to laser welding real-time monitoring: A critical review of recent literature. In JOURNAL OF MANUFACTURING SYSTEMS. ISSN 0278-6125, 2020, vol. 57, no., pp. 1-18., Registrované v: WOS
[1.1] CAO, B. - WANG, Z. - ZHANG, L. - FENG, D. - PENG, M. - ZHANG, L. Blockchain systems, technologies and applications: A methodology perspective. In IEEE Communications Surveys & Tutorials. eISSN 1553-877X, 2022, pp. 353-385. Dostupné na: https://doi.org/10.1109/COMST.2022.3204702, Registrované v: WOS
[1.1] CAO, B. - WANG, Z.X. - ZHANG, L. - FENG, D.Q. - PENG, M.G. - ZHANG, L. - HAN, Z. Blockchain Systems, Technologies, and Applications: A Methodology Perspective. In IEEE COMMUNICATIONS SURVEYS AND TUTORIALS. 2023, vol. 25, no. 1, p. 353-385. Dostupné na: https://doi.org/10.1109/COMST.2022.3204702, Registrované v: WOS
[1.1] CARNERO, Alejandro - MARTIN, Cristian - TORRES, Daniel R. - GARRIDO, Daniel - DIAZ, Manuel - RUBIO, Bartolome. Managing and Deploying Distributed and Deep Neural Models Through Kafka-ML in the Cloud-to-Things Continuum. In IEEE ACCESS. ISSN 2169-3536, 2021, vol. 9, no., pp. 125478-125495., Registrované v: WOS
[1.1] CHATTERJEE, Joyjit - DETHLEFS, Nina. Scientometric review of artificial intelligence for operations & maintenance of wind turbines: The past, present and future. In RENEWABLE & SUSTAINABLE ENERGY REVIEWS. ISSN 1364-0321, 2021, vol. 144, no., pp., Registrované v: WOS
[1.1] CHAVDA, V.P. - VALU, D.D. - PARIKH, P.K. - TIWARI, N. - CHHIPA, A. - SHUKLA, S. - PATEL, S.S. - BALAR, P.C. - PAIVA-SANTOS, A.C. - PATRAVALE, V. Conventional and Novel Diagnostic Tools for the Diagnosis of Emerging SARS-CoV-2 Variants. In VACCINES. FEB 2023, vol. 11, no. 2. Dostupné na: https://doi.org/10.3390/vaccines11020374, Registrované v: WOS
[1.1] CHEN, Z.S. - ZHANG, L.K. - LI, K. - XUE, X.Y. - ZHANG, X.L. - KIM, B. - LI, C.Y. Machine-learning prediction of aerodynamic damping for buildings and structures undergoing flow-induced vibrations. In JOURNAL OF BUILDING ENGINEERING. JAN 1 2023, vol. 63, A. Dostupné na: https://doi.org/10.1016/j.jobe.2022.105374, Registrované v: WOS
[1.1] CHOI, Hyun-Sik. Drowsy driving detection using neural network with backpropagation algorithm implemented by FPGA. In CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE. ISSN 1532-0626, 2019, vol., no., pp., Registrované v: WOS
[1.1] CHUI, Kwok Tai - GUPTA, Brij B. - ZHAO, Mingbo - MALIBARI, Areej - ARYA, Varsha - ALHALABI, Wadee - RUIZ, Miguel Torres. Enhancing Electrocardiogram Classification with Multiple Datasets and Distant Transfer Learning. In BIOENGINEERING-BASEL, 2022, vol. 9, no. 11, pp. Dostupné na: https://doi.org/10.3390/bioengineering9110683, Registrované v: WOS
[1.1] CIRRINCIONE, Giansalvo - KUMAR, Rahul Ranjeev - MOHAMMADI, Ali - KIA, Shahin Hedayati - BARBIERO, Pietro - FERRETTI, Jacopo. Shallow Versus Deep Neural Networks in Gear Fault Diagnosis. In IEEE TRANSACTIONS ON ENERGY CONVERSION. ISSN 0885-8969, 2020, vol. 35, no. 3, pp. 1338-1347., Registrované v: WOS
[1.1] COGUMBREIRO, T. - LANGE, J. - LIEW, D. - ZICARELLI, H. Memory access protocols: certified data-race freedom for GPU kernels. In FORMAL METHODS IN SYSTEM DESIGN. ISSN 0925-9856, 2023 MAY 26 2023. Dostupné na: https://doi.org/10.1007/s10703-023-00415-0, Registrované v: WOS
[1.1] CORNETTA, Gianluca - TOUHAFI, Abdellah. Design and Evaluation of a New Machine Learning Framework for IoT and Embedded Devices. In ELECTRONICS, 2021, vol. 10, no. 5, pp., Registrované v: WOS
[1.1] DA SILVA, Fabiano G. - RAMOS, Lucas P. - PALM, Bruna G. - MACHADO, Renato. Assessment of Machine Learning Techniques for Oil Rig Classification in C-Band SAR Images. In REMOTE SENSING, 2022, vol. 14, no. 13, pp. Dostupné na: https://doi.org/10.3390/rs14132966, Registrované v: WOS
[1.1] DEHURY, Chinmaya Kumar - SRIRAMA, Satish Narayana. An efficient service dispersal mechanism for fog and cloud computing using deep reinforcement learning. In 2020 20TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND INTERNET COMPUTING (CCGRID 2020), 2020, vol., no., pp. 589-598., Registrované v: WOS
[1.1] DESSUREAULT, J.S. - MASSICOTTE, D. <em>AI</em><SUP>2</SUP>: the next leap toward native language-based and explainable machine learning framework. In AUTOMATED SOFTWARE ENGINEERING. ISSN 0928-8910, NOV 2023, vol. 30, no. 2. Dostupné na: https://doi.org/10.1007/s10515-023-00399-5, Registrované v: WOS
[1.1] DESSUREAULT, J.S. - MASSICOTTE, D. AI2: a novel explainable machine learning framework using an NLP interface. In PROCEEDINGS OF 2023 8TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING TECHNOLOGIES, ICMLT 2023. 2023, p. 1-7. Dostupné na: https://doi.org/10.1145/3589883.3589884, Registrované v: WOS
[1.1] DEY, R. - PIRI, J. - BEHERA, D.K. - KHAN, A.U. A time efficient offline handwritten character recognition using convolutional extreme learning machine. In IMAGING SCIENCE JOURNAL. ISSN 1368-2199, 2023 JUN 27 2023. Dostupné na: https://doi.org/10.1080/13682199.2023.2223011, Registrované v: WOS
[1.1] DHANKAR, S. - SHARMA, D. - MOHANTA, H.K. - SANDE, P.C. Machine Learning Applied to Predict Key Petroleum Crude Oil Constituents. In CHEMICAL ENGINEERING & TECHNOLOGY. ISSN 0930-7516, FEB 2024, vol. 47, no. 2, p. 365-374. Dostupné na: https://doi.org/10.1002/ceat.202300192, Registrované v: WOS
[1.1] DHAYA, R. - KANTHAVEL, R. - VENUSAMY, K. AI Based Learning Model Management Framework for Private Cloud Computing. In JOURNAL OF INTERNET TECHNOLOGY. ISSN 1607-9264, 2022, vol. 23, no. 7, p. 1633-1642. Dostupné na: https://doi.org/10.53106/160792642022122307017, Registrované v: WOS
[1.1] DI BERNARDO, I. - GRECO, F. Startups and Artificial Intelligence Insights from Italy. In IMPACT OF ARTIFICIAL INTELLIGENCE IN BUSINESS AND SOCIETY: Opportunities and Challenges. 2023, p. 134-152. Dostupné na: https://doi.org/10.4324/9781003304616-9, Registrované v: WOS
[1.1] DIAMANTIS, Dimitrios E. - IAKOVIDIS, Dimitris K. ASML: Algorithm-Agnostic Architecture for Scalable Machine Learning. In IEEE ACCESS. ISSN 2169-3536, 2021, vol. 9, no., pp. 51970-51982., Registrované v: WOS
[1.1] DINDORF, C. - BARTAGUIZ, E. - GASSMANN, F. - FROEHLICH, M. Conceptual Structure and Current Trends in Artificial Intelligence, Machine Learning, and Deep Learning Research in Sports: A Bibliometric Review. In INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH. JAN 2023, vol. 20, no. 1. Dostupné na: https://doi.org/10.3390/ijerph20010173, Registrované v: WOS
[1.1] DING, Yuzhe - HUANG, Shaofei - PENG, Roubo. Data Augmentation and Deep Learning Modeling Methods on Edge-Device-Based Sign Language Recognition. In 2020 5TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE, COMPUTER TECHNOLOGY AND TRANSPORTATION (ISCTT 2020), 2020, vol., no., pp. 490-497., Registrované v: WOS
[1.1] DJENOURI, Youcef - BELHADI, Asma - LIN, Jerry Chun-Wei. Recurrent neural network with density-based clustering for group pattern detection in energy systems. In SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2022, vol. 52, no., pp. ISSN 2213-1388. Dostupné na: https://doi.org/10.1016/j.seta.2022.102308, Registrované v: WOS
[1.1] DLI, M. - PUCHKOV, A. Yu - LOBANEVA, E. - CHERNOVALOVA, M. Evaluating the State of a Phosphorus Production System in the Service Life Prediction Problem. In MECHANICS, RESOURCE AND DIAGNOSTICS OF MATERIALS AND STRUCTURES (MRDMS-2020). ISSN 0094-243X, 2020, vol. 2315, no., pp., Registrované v: WOS
[1.1] DOHMEN, Roel - CATAL, Cagatay - LIU, Qingzhi. Image-based body mass prediction of heifers using deep neural networks. In BIOSYSTEMS ENGINEERING. ISSN 1537-5110, 2021, vol. 204, no., pp. 283-293., Registrované v: WOS
[1.1] DOLECK, Tenzin - LEMAY, David John - BASNET, Ram B. - BAZELAIS, Paul. Predictive analytics in education: a comparison of deep learning frameworks. In EDUCATION AND INFORMATION TECHNOLOGIES. ISSN 1360-2357, 2019, vol., no., pp., Registrované v: WOS
[1.1] ECKARDT, Jan-Niklas - BORNHAEUSER, Martin - WENDT, Karsten - MIDDEKE, Jan Moritz. Application of machine learning in the management of acute myeloid leukemia: current practice and future prospects. In BLOOD ADVANCES. ISSN 2473-9529, 2020, vol. 4, no. 23, pp. 6077-6085., Registrované v: WOS
[1.1] EGIEYEH, Samuel - MALAN, Sarel F. - CHRISTOFFELS, Alan. Cheminformatics techniques in antimalarial drug discovery and development from natural products 2: Molecular scaffold and machine learning approaches. In PHYSICAL SCIENCES REVIEWS. ISSN 2365-6581, 2021, vol. 6, no. 3, pp., Registrované v: WOS
[1.1] EL MIR, Haroun - PERINPANAYAGAM, Suresh. Certification of machine learning algorithms for safe-life assessment of landing gear. In FRONTIERS IN ASTRONOMY AND SPACE SCIENCES, 2022, vol. 9, no., pp. ISSN 2296-987X. Dostupné na: https://doi.org/10.3389/fspas.2022.896877, Registrované v: WOS
[1.1] ELFATIH, Nada M. - HASAN, Mohammad Kamrul - KAMAL, Zeinab - GUPTA, Deepa - SAEED, Rashid A. - ALI, Elmustafa Sayed - HOSAIN, Md. Sarwar. Internet of vehicle's resource management in 5G networks using AI technologies: Current status and trends. In IET COMMUNICATIONS. ISSN 1751-8628, 2021, vol., no., pp. Dostupné na: https://doi.org/10.1049/cmu2.12315, Registrované v: WOS
[1.1] ELMDOOST-GASHTI, M. - SHAFIEE, M. - BOZORGI-AMIRI, A. Enhancing resilience in marine propulsion systems by adopting machine learning technology for predicting failures and prioritising maintenance activities. In JOURNAL OF MARINE ENGINEERING AND TECHNOLOGY. ISSN 2046-4177, JAN 2 2024, vol. 23, no. 1, SI, p. 18-32. Dostupné na: https://doi.org/10.1080/20464177.2023.2243748, Registrované v: WOS
[1.1] ENGEL, Ekaterina - ENGEL, Nikita. A Review on Machine Learning Applications for Solar Plants. In SENSORS, 2022, vol. 22, no. 23, pp. Dostupné na: https://doi.org/10.3390/s22239060, Registrované v: WOS
[1.1] ERKINAY OZDEMIR, Merve - ALI, Zaara - SUBESHAN, Balakrishnan - ASMATULU, Eylem. Applying machine learning approach in recycling. In JOURNAL OF MATERIAL CYCLES AND WASTE MANAGEMENT. ISSN 1438-4957, 2021, vol., no., pp., Registrované v: WOS
[1.1] FAN, Mingjing - XIAO, Keyan - SUN, Li - ZHANG, Shuai - XU, Yang. Automated Hyperparameter Optimization of Gradient Boosting Decision Tree Approach for Gold Mineral Prospectivity Mapping in the Xiong'ershan Area. In MINERALS, 2022, vol. 12, no. 12, pp. Dostupné na: https://doi.org/10.3390/min12121621, Registrované v: WOS
[1.1] FERNOAGA, Vlad - CURPEN, Radu - NUTIU, Cosmin - SANDU, Florin. Multichannel Software Defined Radio with Spectral Decision via Centralized Artificial Intelligence. In 2019 18TH ROEDUNET CONFERENCE NETWORKING IN EDUCATION AND RESEARCH (ROEDUNET). ISSN 2068-1038, 2019, vol., no., pp., Registrované v: WOS
[1.1] FIROUZI, Farshad - FARAHANI, Bahar - MARINSEK, Alexander. The convergence and interplay of edge, fog, and cloud in the AI-driven Internet of Things (IoT). In INFORMATION SYSTEMS, 2022, vol. 107, no., pp. ISSN 0306-4379. Dostupné na: https://doi.org/10.1016/j.is.2021.101840, Registrované v: WOS
[1.1] FU, Rong - LIU, Yimin - HUANG, Tianyao - ELDAR, Yonina C. Structured LISTA for Multidimensional Harmonic Retrieval. In IEEE TRANSACTIONS ON SIGNAL PROCESSING. ISSN 1053-587X, 2021, vol. 69, no., pp. 3459-3472. Dostupné na: https://doi.org/10.1109/TSP.2021.3086593, Registrované v: WOS
[1.1] FU, Yabo - ZHANG, Hao - MORRIS, Eric D. - GLIDE-HURST, Carri K. - PAI, Suraj - TRAVERSO, Alberto - WEE, Leonard - HADZIC, Ibrahim - LONNE, Per-Ivar - SHEN, Chenyang - LIU, Tian - YANG, Xiaofeng. Artificial Intelligence in Radiation Therapy. In IEEE TRANSACTIONS ON RADIATION AND PLASMA MEDICAL SCIENCES. ISSN 2469-7311, 2022, vol. 6, no. 2, pp. 158-181. Dostupné na: https://doi.org/10.1109/TRPMS.2021.3107454
[1.1] GANIE, Shahid Mohammad - MALIK, Majid Bashir - ARIF, Tasleem. Performance analysis and prediction of type 2 diabetes mellitus based on lifestyle data using machine learning approaches. In JOURNAL OF DIABETES AND METABOLIC DISORDERS, 2022, vol., no., pp. Dostupné na: https://doi.org/10.1007/s40200-022-00981-w, Registrované v: WOS
[1.1] GAO, Peng - WU, Weifei - LI, Jingmei. Multi-source fast transfer learning algorithm based on support vector machine. In APPLIED INTELLIGENCE. ISSN 0924-669X, 2021, vol., no., pp., Registrované v: WOS
[1.1] GAWDE, S. - PATIL, S. - KUMAR, S. - KAMAT, P. - KOTECHA, K. - ABRAHAM, A. Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach : A review of two decades of research. In ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. ISSN 0952-1976, AUG 2023, vol. 123, A. Dostupné na: https://doi.org/10.1016/j.engappai.2023.106139, Registrované v: WOS
[1.1] GHANBARI, Hamid - MAHDIANPARI, Masoud - HOMAYOUNI, Saeid - MOHAMMADIMANESH, Fariba. A Meta-Analysis of Convolutional Neural Networks for Remote Sensing Applications. In IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING. ISSN 1939-1404, 2021, vol. 14, no., pp. 3602-3613., Registrované v: WOS
[1.1] GIDADO, Usman Manzo - CHIROMA, Haruna - ALJOJO, Nahla - ABUBAKAR, Saidu - POPOOLA, Segun I. - AL-GARADI, Mohammed Ali. A Survey on Deep Learning for Steering Angle Prediction in Autonomous Vehicles. In IEEE ACCESS. ISSN 2169-3536, 2020, vol. 8, no., pp. 163797-163817., Registrované v: WOS
[1.1] GONZALEZ-ABAD, Jose - LOPEZ GARCIA, Alvaro - KOZLOV, Valentin Y. A container-based workflow for distributed training of deep learning algorithms in HPC clusters. In CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2022, vol., no., pp. ISSN 1386-7857. Dostupné na: https://doi.org/10.1007/s10586-022-03798-7, Registrované v: WOS
[1.1] GUNDEWAR, Swapnil K. - KANE, Prasad. Rolling element bearing fault diagnosis using supervised learning methods- artificial neural network and discriminant classifier. In INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT, 2022, vol., no., pp. ISSN 0975-6809. Dostupné na: https://doi.org/10.1007/s13198-022-01757-4, Registrované v: WOS
[1.1] GUO, W.Y. - QURESHI, N.M.F. - JARWAR, M.A. - KIM, J. - SHIN, D.R. AI-oriented Smart Power System Transient Stability: The Rationality, Applications, Challenges and Future Opportunities. In SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS. ISSN 2213-1388, MAR 2023, vol. 56. Dostupné na: https://doi.org/10.1016/j.seta.2022.102990, Registrované v: WOS
[1.1] GUO, Zixi - ZHAO, Jinzhou - YOU, Zhenjiang - LI, Yongming - ZHANG, Shu - CHEN, Yiyu. Prediction of coalbed methane production based on deep learning. In ENERGY. ISSN 0360-5442, 2021, vol. 230, no., pp., Registrované v: WOS
[1.1] HAMAD, Faten - AL-FADEL, Maha - FAKHOURI, Hussam. The provision of smart service at academic libraries and associated challenges. In JOURNAL OF LIBRARIANSHIP AND INFORMATION SCIENCE, 2022, vol., no., pp. ISSN 0961-0006. Dostupné na: https://doi.org/10.1177/09610006221114173, Registrované v: WOS
[1.1] HAN, Weijie - XUE, Jingfeng - WANG, Yong - ZHU, Shibing - KONG, Zixiao. Review: Build a Roadmap for Stepping Into the Field of Anti-Malware Research Smoothly. In IEEE ACCESS. ISSN 2169-3536, 2019, vol. 7, no., pp. 143573-143596., Registrované v: WOS
[1.1] HARJOSEPUTRO, Yulius. A Classification Javanese Letters Model using a Convolutional Neural Network with KERAS Framework. In INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS. ISSN 2158-107X, 2020, vol. 11, no. 10, pp. 106-111., Registrované v: WOS
[1.1] HASSAN, A.F. - BARAKAT, S. - REZK, A. Towards a deep learning-based outlier detection approach in the context of streaming data. In JOURNAL OF BIG DATA. DEC 16 2022, vol. 9, no. 1. Dostupné na: https://doi.org/10.1186/s40537-022-00670-8, Registrované v: WOS
[1.1] HASSAN, Asmaa F. F. - BARAKAT, Sherif - REZK, Amira. Towards a deep learning-based outlier detection approach in the context of streaming data. In JOURNAL OF BIG DATA, 2022, vol. 9, no. 1, pp. Dostupné na: https://doi.org/10.1186/s40537-022-00670-8, Registrované v: WOS
[1.1] HIJAZI, Neveen Mohammed - FARIS, Hossam - ALJARAH, Ibrahim. A parallel metaheuristic approach for ensemble feature selection based on multi-core architectures. In EXPERT SYSTEMS WITH APPLICATIONS. ISSN 0957-4174, 2021, vol. 182, no., pp., Registrované v: WOS
[1.1] HO, Long - GOETHALS, Peter. Machine learning applications in river research: Trends, opportunities and challenges. In METHODS IN ECOLOGY AND EVOLUTION, 2022, vol. 13, no. 11, pp. 2603-2621. ISSN 2041-210X. Dostupné na: https://doi.org/10.1111/2041-210X.13992, Registrované v: WOS
[1.1] HOESER, Thorsten - KUENZER, Claudia. Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review-Part I: Evolution and Recent Trends. In REMOTE SENSING, 2020, vol. 12, no. 10, pp., Registrované v: WOS
[1.1] HOORALI, F. - KHOSRAVI, H. - MORADI, B. An automatic method for microscopic diagnosis of diseases based on URCNN. In BIOMEDICAL SIGNAL PROCESSING AND CONTROL. ISSN 1746-8094, FEB 2023, vol. 80, 1. Dostupné na: https://doi.org/10.1016/j.bspc.2022.104240, Registrované v: WOS
[1.1] HUANG, B.B. - WANG, C.Y. Research on Data Analysis of Efficient Innovation and Entrepreneurship Practice Teaching Based on LightGBM Classification Algorithm. In INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS. ISSN 1875-6891, SEP 7 2023, vol. 16, no. 1. Dostupné na: https://doi.org/10.1007/s44196-023-00324-4, Registrované v: WOS
[1.1] HUANG, Wei - WEI, Ziming - TAN, Benying - YIN, Shan - ZHANG, Wentao. Inverse engineering of electromagnetically induced transparency in terahertz metamaterial via deep learning. In JOURNAL OF PHYSICS D-APPLIED PHYSICS. ISSN 0022-3727, 2021, vol. 54, no. 13, pp., Registrované v: WOS
[1.1] HURVITZ, N. - ILAN, Y. The Constrained-Disorder Principle Assists in Overcoming Significant Challenges in Digital Health: Moving from "Nice to Have" to Mandatory Systems. In CLINICS AND PRACTICE. ISSN 2039-7275, AUG 2023, vol. 13, no. 4, p. 994-1014. Dostupné na: https://doi.org/10.3390/clinpract13040089, Registrované v: WOS
[1.1] IBRAHIM, Khaled Z. - OLIKER, Leonid. Preprocessing Pipeline Optimization for Scientific Deep Learning Workloads. In 2022 IEEE 36TH INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM (IPDPS 2022), 2022, vol., no., pp. 1118-1128. ISSN 1530-2075. Dostupné na: https://doi.org/10.1109/IPDPS53621.2022.00112, Registrované v: WOS
[1.1] ILIAS, L. - TSAPELAS, G. - KAPSALIS, P. - MICHALAKOPOULOS, V. - KORMPAKIS, G. - MOUZAKITIS, S. - ASKOUNIS, D. Leveraging extreme scale analytics, AI and digital twins for maritime digitalization: the VesselAI architecture. In FRONTIERS IN BIG DATA. JUL 27 2023, vol. 6. Dostupné na: https://doi.org/10.3389/fdata.2023.1220348, Registrované v: WOS
[1.1] JAISWAL, Deepak - KUMAR, Praveen. A survey on parallel computing for traditional computer vision. In CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE. ISSN 1532-0626, 2021, vol., no., pp. Dostupné na: https://doi.org/10.1002/cpe.6638, Registrované v: WOS
[1.1] JANGA, B. - ASAMANI, G.P. - SUN, Z.H. - CRISTEA, N. A Review of Practical AI for Remote Sensing in Earth Sciences. In REMOTE SENSING. AUG 2023, vol. 15, no. 16. Dostupné na: https://doi.org/10.3390/rs15164112, Registrované v: WOS
[1.1] JAURO, Fatsuma - CHIROMA, Haruna - GITAL, Abdulsalam Y. - ALMUTAIRI, Mubarak - ABDULHAMID, Shafi'i M. - ABAWAJY, Jemal H. Deep learning architectures in emerging cloud computing architectures: Recent development, challenges and next research trend. In APPLIED SOFT COMPUTING. ISSN 1568-4946, 2020, vol. 96, no., pp., Registrované v: WOS
[1.1] JI, Daan - WANG, Chuang - LI, Jiahui - DONG, Hongli. A review: data driven-based fault diagnosis and RUL prediction of petroleum machinery and equipment. In SYSTEMS SCIENCE & CONTROL ENGINEERING, 2021, vol. 9, no. 1, pp. 724-747. Dostupné na: https://doi.org/10.1080/21642583.2021.1992684, Registrované v: WOS
[1.1] JOSEPH, Diana Susan - PAWAR, Pranav M. - PRAMANIK, Rahul. Intelligent plant disease diagnosis using convolutional neural network: a review. In MULTIMEDIA TOOLS AND APPLICATIONS, 2022, vol., no., pp. ISSN 1380-7501. Dostupné na: https://doi.org/10.1007/s11042-022-14004-6, Registrované v: WOS
[1.1] KAHVECI, Sinan - ALKAN, Bugra - AHMAD, Mus'ab H. - AHMAD, Bilal - HARRISON, Robert. An end-to-end big data analytics platform for IoT-enabled smart factories: A case study of battery module assembly system for electric vehicles. In JOURNAL OF MANUFACTURING SYSTEMS, 2022, vol. 63, no., pp. 214-223. ISSN 0278-6125. Dostupné na: https://doi.org/10.1016/j.jmsy.2022.03.010, Registrované v: WOS
[1.1] KAMATH, V. - RENUKA, A. Deep learning based object detection for resource constrained devices: Systematic review, future trends and challenges ahead. In NEUROCOMPUTING. ISSN 0925-2312, APR 28 2023, vol. 531, p. 34-60. Dostupné na: https://doi.org/10.1016/j.neucom.2023.02.006, Registrované v: WOS
[1.1] KAMBLE, Arvind - MALEMATH, Virendra S. Adam Improved Rider Optimization-Based Deep Recurrent Neural Network for the Intrusion Detection in Cyber Physical Systems. In International Journal of Swarm Intelligence Research (IJSIR). 2022, vol. 13, no. 3, pp. 1-22. doi: 10.4018/IJSIR.304402., Registrované v: WOS
[1.1] KAMRAN, Sayed Suhaib - HALEEM, Abid - BAHL, Shashi - JAVAID, Mohd - PRAKASH, Chander - BUDHHI, Dharam. Artificial intelligence and advanced materials in automotive industry: Potential applications and perspectives. In MATERIALS TODAY-PROCEEDINGS, 2022, vol. 62, no., pp. 4207-4214. ISSN 2214-7853. Dostupné na: https://doi.org/10.1016/j.matpr.2022.04.727, Registrované v: WOS
[1.1] KANG, M. - KIM, S. - RYU, D. - CHO, J. Which Exceptions Do We Have to Catch in the Python Code for AI Projects?. In INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING. ISSN 0218-1940, MAR 2023, vol. 33, no. 03, p. 375-394. Dostupné na: https://doi.org/10.1142/S0218194022500814, Registrované v: WOS
[1.1] KANG, Z.W. - MIN, Z.R. - ZHOU, S. - BARVE, Y.D. - GOKHALE, A. Dataset Placement and Data Loading Optimizations for Cloud-Native Deep Learning Workloads. In 2023 IEEE 26TH INTERNATIONAL SYMPOSIUM ON REAL-TIME DISTRIBUTED COMPUTING, ISORC. ISSN 2770-1611, 2023, p. 107-116. Dostupné na: https://doi.org/10.1109/ISORC58943.2023.00023, Registrované v: WOS
[1.1] KAPSECKER, M. - NUGRAHA, D.N. - WEINHUBER, C. - LANE, N. - JONAS, S.M. Federated Learning with Swift: An Extension of Flower and Performance Evaluation. In SOFTWAREX. ISSN 2352-7110, DEC 2023, vol. 24. Dostupné na: https://doi.org/10.1016/j.softx.2023.101533, Registrované v: WOS
[1.1] KATTENBORN, Teja - LEITLOFF, Jens - SCHIEFER, Felix - HINZ, Stefan. Review on Convolutional Neural Networks (CNN) in vegetation remote sensing. In ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING. ISSN 0924-2716, 2021, vol. 173, no., pp. 24-49., Registrované v: WOS
[1.1] KETOVA, K. - RUSYAK, I. G. - VAVILOVA, D. D. MATHEMATICAL MODELING AND NEURAL NETWORK PREDICTION OF THE STRUCTURE AND DYNAMICS OF HUMAN CAPITAL OF THE RUSSIAN FEDERATION. In VESTNIK TOMSKOGO GOSUDARSTVENNOGO UNIVERSITETA-UPRAVLENIE VYCHISLITELNAJA TEHNIKA I INFORMATIKA-TOMSK STATE UNIVERSITY JOURNAL OF CONTROL AND COMPUTER SCIENCE. ISSN 1998-8605, 2020, vol., no. 53, pp. 13-24., Registrované v: WOS
[1.1] KETOVA, K. - VAVILOVA, D. D. Neural Network Forecasting Algorithm as a Tool for Assessing Human Capital Trends of the Socio-Economic System. In ECONOMIC AND SOCIAL CHANGES-FACTS TRENDS FORECAST. ISSN 2307-0331, 2020, vol. 13, no. 6, pp. 117-133., Registrované v: WOS
[1.1] KHAN, Asifullah - SOHAIL, Anabia - ZAHOORA, Umme - QURESHI, Aqsa Saeed. A survey of the recent architectures of deep convolutional neural networks. In ARTIFICIAL INTELLIGENCE REVIEW. ISSN 0269-2821, 2020, vol., no., pp., Registrované v: WOS
[1.1] KIM, Misoo - KIM, Youngkyoung - LEE, Eunseok. An Empirical Study of IR-based Bug Localization for Deep Learning-based Software. In 2022 IEEE 15TH INTERNATIONAL CONFERENCE ON SOFTWARE TESTING, VERIFICATION AND VALIDATION (ICST 2022), 2022, vol., no., pp. 128-139. ISSN 2381-2834. Dostupné na: https://doi.org/10.1109/ICST53961.2022.00024, Registrované v: WOS
[1.1] KIM, Misoo - KIM, Youngkyoung - LEE, Eunseok. Denchmark: A Bug Benchmark of Deep Learning-related Software. In 2021 IEEE/ACM 18TH INTERNATIONAL CONFERENCE ON MINING SOFTWARE REPOSITORIES (MSR 2021). ISSN 2160-1852, 2021, vol., no., pp. 540-544. Dostupné na: https://doi.org/10.1109/MSR52588.2021.00070, Registrované v: WOS
[1.1] KINAHAN, S.P. - LISS, J.M. - BERISHA, V. TorchDIVA: An extensible computational model of speech production built on an open-source machine learning library. In PLOS ONE. ISSN 1932-6203, FEB 17 2023, vol. 18, no. 2. Dostupné na: https://doi.org/10.1371/journal.pone.0281306, Registrované v: WOS
[1.1] KOMORNICZAK, J. - KSIENIEWICZ, P. problexity-An open-source Python library for supervised learning problem complexity assessment. In NEUROCOMPUTING. ISSN 0925-2312, FEB 7 2023, vol. 521, p. 126-136. Dostupné na: https://doi.org/10.1016/j.neucom.2022.11.056, Registrované v: WOS
[1.1] KORBEL, Jakob J. - SIDDIQ, Umar H. - ZARNEKOW, Ruediger. Towards Virtual 3D Asset Price Prediction Based on Machine Learning. In JOURNAL OF THEORETICAL AND APPLIED ELECTRONIC COMMERCE RESEARCH, 2022, vol. 17, no. 3, pp. 924-948. ISSN 0718-1876. Dostupné na: https://doi.org/10.3390/jtaer17030048, Registrované v: WOS
[1.1] KOZIC, Antoni - LUCUN, Andzej - VINGELIS, Mindaugas - MACERAUSKAS, Eugenijus - NARMONTAS, Andrius. APPLICATION OF MACHINE LEARNING FOR REMOTE ELECTRONICS EXPERIMENTS AS THE MEAN OF INDENTIFICATION. In SOCIETY, INTEGRATION, EDUCATION 2021, VOL V, 2021, vol., no., pp. 371-378. ISSN 1691-5887. Dostupné na: https://doi.org/10.17770/sie2021vol5.6371, Registrované v: WOS
[1.1] KRAMAR, V. - ALCHAKOV, V. Time-Series Forecasting of Seasonal Data Using Machine Learning Methods. In ALGORITHMS. MAY 10 2023, vol. 16, no. 5. Dostupné na: https://doi.org/10.3390/a16050248, Registrované v: WOS
[1.1] KUCHIN, Yan - MUKHAMEDIEV, Ravil - YAKUNIN, Kirill - GRUNDSPENKIS, Janis - SYMAGULOV, Adilkhan. Assessing the Impact of Expert Labelling of Training Data on the Quality of Automatic Classification of Lithological Groups Using Artificial Neural Networks. In APPLIED COMPUTER SYSTEMS. ISSN 2255-8683, 2020, vol. 25, no. 2, pp. 145-152., Registrované v: WOS
[1.1] KWOFIE, S.K. - ADAMS, J. - BRONI, E. - ENNINFUL, K.S. - AGONI, C. - SOLIMAN, M.E.S. - WILSON, M.D. Artificial Intelligence, Machine Learning, and Big Data for Ebola Virus Drug Discovery. In PHARMACEUTICALS. MAR 2023, vol. 16, no. 3. Dostupné na: https://doi.org/10.3390/ph16030332, Registrované v: WOS
[1.1] KWOFIE, Samuel K. - AGYENKWA-MAWULI, Kwasi - BRONI, Emmanuel - MILLER III, Whelton A. - WILSON, Michael D. Prediction of antischistosomal small molecules using machine learning in the era of big data. In MOLECULAR DIVERSITY. ISSN 1381-1991, 2021, vol., no., pp., Registrované v: WOS
[1.1] LAI, Jianqi - YU, Hang - TIAN, Zhengyu - LI, Hua. Hybrid MPI and CUDA Parallelization for CFD Applications on Multi-GPU HPC Clusters. In SCIENTIFIC PROGRAMMING. ISSN 1058-9244, 2020, vol. 2020, no., pp., Registrované v: WOS
[1.1] LANA, Ibai - SANCHEZ-MEDINA, Javier J. - VLAHOGIANNI, Eleni I. - DEL SER, Javier. From Data to Actions in Intelligent Transportation Systems: A Prescription of Functional Requirements for Model Actionability. In SENSORS, 2021, vol. 21, no. 4, pp., Registrované v: WOS
[1.1] LAOULA, E.B. - ELFAHIM, O. - EL MIDAOUI, M. - YOUSSFI, M. - BOUATTANE, O. Traffic violations analysis: Identifying risky areas and common violations. In HELIYON. SEP 2023, vol. 9, no. 9. Dostupné na: https://doi.org/10.1016/j.heliyon.2023.e19058, Registrované v: WOS
[1.1] LATIF, Shahid - DRISS, Maha - BOULILA, Wadii - HUMA, Zil E. - JAMAL, Sajjad Shaukat - IDREES, Zeba - AHMAD, Jawad. Deep Learning for the Industrial Internet of Things (IIoT): A Comprehensive Survey of Techniques, Implementation Frameworks, Potential Applications, and Future Directions. In SENSORS, 2021, vol. 21, no. 22, pp. Dostupné na: https://doi.org/10.3390/s21227518, Registrované v: WOS
[1.1] LEE, Junhee - CHO, Hyeonseong - PYUN, Yun Jang - KANG, Suk-Ju - NAM, Hyoungsik. Heatmap Assisted Accuracy Score Evaluation Method for Machine-Centric Expandable Deep Neural Networks. In IEEE ACCESS, 2022, vol. 10, no., pp. 64832-64849. ISSN 2169-3536. Dostupné na: https://doi.org/10.1109/ACCESS.2022.3184453, Registrované v: WOS
[1.1] LEE, Y.K. - PARK, S.H. - LIM, M.Y. - LEE, S.H. - JEONG, J. Towards Ensuring Software Interoperability Between Deep Learning Frameworks. In JOURNAL OF ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING RESEARCH. ISSN 2083-2567, OCT 1 2023, vol. 13, no. 4, p. 215-228. Dostupné na: https://doi.org/10.2478/jaiscr-2023-0016, Registrované v: WOS
[1.1] LI, Hong-An - ZHENG, Qiaoxue - QI, Xin - YAN, Wenjing - WEN, Zheng - LI, Na - TANG, Chu. Neural Network-Based Mapping Mining of Image Style Transfer in Big Data Systems. In COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2021, vol. 2021, no., pp. ISSN 1687-5265. Dostupné na: https://doi.org/10.1155/2021/8387382, Registrované v: WOS
[1.1] LI, Ruihua - FENG, Zhidong - GUO, Hongbo. Data Mining and Analysis Algorithm of Smart City Network Information Resource Description Framework Based on Fuzzy Association Rules. In JOURNAL OF TESTING AND EVALUATION, 2022, vol., no., pp. ISSN 0090-3973. Dostupné na: https://doi.org/10.1520/JTE20220098, Registrované v: WOS
[1.1] LI, Xiaofeng - LI, Dong - DENG, Yuanbei - XING, Jinming. Intelligent mining algorithm for complex medical data based on deep learning. In JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING. ISSN 1868-5137, 2020, vol., no., pp., Registrované v: WOS
[1.1] LIAN, Jian - ZHOU, Yanan - HAN, Lina - YU, Zhiguo. Virtual Reality and Internet of Things-Based Music Online Learning via the Graph Neural Network. In COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, vol. 2022, no., pp. ISSN 1687-5265. Dostupné na: https://doi.org/10.1155/2022/3316886, Registrované v: WOS
[1.1] LIM, Jane S. - HONG, Merrelynn - LAM, Walter S. T. - ZHANG, Zheting - TEO, Zhen Ling - LIU, Yong - NG, Wei Yan - FOO, Li Lian - TING, Daniel S. W. Novel technical and privacy-preserving technology for artificial intelligence in ophthalmology. In CURRENT OPINION IN OPHTHALMOLOGY, 2022, vol. 33, no. 3, pp. 174-187. ISSN 1040-8738. Dostupné na: https://doi.org/10.1097/ICU.0000000000000846, Registrované v: WOS
[1.1] LIM, Seung-Ho - KANG, Shin-Hyeok - KO, Byeong-Hyun - ROH, Jaewon - LIM, Chaemin - CHO, Sang-Young. An Integrated Analysis Framework of Convolutional Neural Network for Embedded Edge Devices. In ELECTRONICS, 2022, vol. 11, no. 7, pp. Dostupné na: https://doi.org/10.3390/electronics11071041, Registrované v: WOS
[1.1] LINVILLE, Lisa M. Event-Based Training in Label-Limited Regimes. In JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH. ISSN 2169-9313, 2022, vol. 127, no. 1, pp. Dostupné na: https://doi.org/10.1029/2021JB022820, Registrované v: WOS
[1.1] LIU, Ying - WANG, Yifei - CHEN, Long - ZHAO, Jun - WANG, Wei - LIU, Quanli. Incremental Bayesian broad learning system and its industrial application. In ARTIFICIAL INTELLIGENCE REVIEW. ISSN 0269-2821, 2020, vol., no., pp., Registrované v: WOS
[1.1] LU, Shibo - CHAI, Hua - SAHOO, Animesh - PHUNG, B. T. Condition Monitoring Based on Partial Discharge Diagnostics Using Machine Learning Methods: A Comprehensive State-of-the-Art Review. In IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION. ISSN 1070-9878, 2020, vol. 27, no. 6, pp. 1861-1888., Registrované v: WOS
[1.1] LUTZ, Clemens - BRESS, Sebastian - ZEUCH, Steffen - RABL, Tilmann - MARKL, Volker. Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects. In SIGMOD'20: PROCEEDINGS OF THE 2020 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA, 2020, vol., no., pp. 1633-1649., Registrované v: WOS
[1.1] LWAKATARE, Lucy Ellen - RAJ, Aiswarya - CRNKOVIC, Ivica - BOSCH, Jan - OLSSON, Helena Holmstrom. Large-scale machine learning systems in real-world industrial settings: A review of challenges and solutions. In INFORMATION AND SOFTWARE TECHNOLOGY. ISSN 0950-5849, 2020, vol. 127, no., pp., Registrované v: WOS
[1.1] MAHAPATRA, Tanmaya - BANOO, Syeeda Nilofer. Flow-based programming for machine learning. In Future Internet, 2022-02-01, 14, 2, pp. Dostupné na: https://doi.org/10.3390/fi14020058, Registrované v: WOS
[1.1] MAIER-HEIN, Lena - EISENMANN, Matthias - SARIKAYA, Duygu - MAERZ, Keno - COLLINS, Toby - MALPANI, Anand - FALLERT, Johannes - FEUSSNER, Hubertus - GIANNAROU, Stamatia - MASCAGNI, Pietro - NAKAWALA, Hirenkumar - PARK, Adrian - PUGH, Carla - STOYANOV, Danail - VEDULA, Swaroop S. - CLEARY, Kevin - FICHTINGER, Gabor - FORESTIER, Germain - GIBAUD, Bernard - GRANTCHAROV, Teodor - HASHIZUME, Makoto - HECKMANN-NOETZEL, Doreen - KENNGOTT, Hannes G. - KIKINIS, Ron - MUENDERMANN, Lars - NAVAB, Nassir - ONOGUR, Sinan - ROSS, Tobias - SZNITMAN, Raphael - TAYLOR, Russell H. - TIZABI, Minu D. - WAGNER, Martin - HAGER, Gregory D. - NEUMUTH, Thomas - PADOY, Nicolas - COLLINS, Justin - GOCKEL, Ines - GOEDEKE, Jan - HASHIMOTO, Daniel A. - JOYEUX, Luc - LAM, Kyle - LEFF, Daniel R. - MADANI, Amin - MARCUS, Hani J. - MEIRELES, Ozanan - SEITEL, Alexander - TEBER, Dogu - UECKERT, Frank - MUELLER-STICH, Beat P. - JANNIN, Pierre - SPEIDEL, Stefanie. Surgical data science-from concepts toward clinical translation. In MEDICAL IMAGE ANALYSIS, 2022, vol. 76, no., pp. ISSN 1361-8415. Dostupné na: https://doi.org/10.1016/j.media.2021.102306, Registrované v: WOS
[1.1] MALASOWE, B.O. - AKAZUE, M.I. - OKPAKO, E.A. - AGHWARE, F.O. - OJUGO, A.A. - OJIE, D.V. Adaptive Learner-CBT with Secured Fault-Tolerant and Resumption Capability for Nigerian Universities. In INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS. ISSN 2158-107X, AUG 2023, vol. 14, no. 8, p. 135-142., Registrované v: WOS
[1.1] MALLIK, A.K. The future of the technology-based manufacturing in the European Union. In RESULTS IN ENGINEERING. ISSN 2590-1230, SEP 2023, vol. 19. Dostupné na: https://doi.org/10.1016/j.rineng.2023.101356, Registrované v: WOS
[1.1] MARTIN, Cristian - LANGENDOERFER, Peter - ZARRIN, Pouya Soltani - DIAZ, Manuel - RUBIO, Bartolome. Kafka-ML: Connecting the data stream with ML/AI frameworks. In FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE. ISSN 0167-739X, 2022, vol. 126, no., pp. 15-33. Dostupné na: https://doi.org/10.1016/j.future.2021.07.037
[1.1] MASOOD, Zaki - GANTASSI, Rahma - ARDIANSYAH - CHOI, Yonghoon. A Multi-Step Time-Series Clustering-Based Seq2Seq LSTM Learning for a Single Household Electricity Load Forecasting. In ENERGIES, 2022, vol. 15, no. 7, pp. Dostupné na: https://doi.org/10.3390/en15072623, Registrované v: WOS
[1.1] MATHIS, Mackenzie Weygandt - MATHIS, Alexander. Deep learning tools for the measurement of animal behavior in neuroscience. In CURRENT OPINION IN NEUROBIOLOGY. ISSN 0959-4388, 2020, vol. 60, no., pp. 1-11., Registrované v: WOS
[1.1] MATTOO, F.A. - NAWAZ, T. - SALEEM, M.M. - KHAN, U.S. - HAMZA, A. Deep Learning Based Multiresponse Optimization Methodology for Dual-Axis MEMS Accelerometer. In MICROMACHINES. APR 2023, vol. 14, no. 4. Dostupné na: https://doi.org/10.3390/mi14040817, Registrované v: WOS
[1.1] MAYET, A.M. - SHUKLA, N.K. - RAJA, M.R. - AHMAD, I. - QAISI, R.M.A. - AL-QAHTANI, A.A. - TAPARWAL, A. - TIRTH, V. - AL-DOSSARY, R. Experimental Analysis to Detect Corona COVID-19 Virus Symptoms in Male Patients through Breath Pattern Using Machine Learning Algorithms. In ELECTRONICS. JAN 2023, vol. 12, no. 1. Dostupné na: https://doi.org/10.3390/electronics12010010, Registrované v: WOS
[1.1] MEHDIZADEH, Saeid - AHMADI, Farshad - KOUZEHKALANI SALES, Ali. Development of wavelet-based hybrid models to enhance daily soil temperature modeling: application of entropy and tau-Kendall pre-processing techniques. In STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2022, vol., no., pp. ISSN 1436-3240. Dostupné na: https://doi.org/10.1007/s00477-022-02268-1, Registrované v: WOS
[1.1] MEIJERING, Erik. A bird's-eye view of deep learning in bioimage analysis. In COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL. ISSN 2001-0370, 2020, vol. 18, no., pp. 2312-2325., Registrované v: WOS
[1.1] MENEGHIN, Massimiliano - MAHMOUD, Ahmed H. - JAYARAMAN, Pradeep Kumar - MORRIS, Nigel J. W. Neon: A Multi-GPU Programming Model for Grid-based Computations. In 2022 IEEE 36TH INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM (IPDPS 2022), 2022, vol., no., pp. 817-827. ISSN 1530-2075. Dostupné na: https://doi.org/10.1109/IPDPS53621.2022.00084, Registrované v: WOS
[1.1] MIENYE, I.D. - SUN, Y.X. A Deep Learning Ensemble With Data Resampling for Credit Card Fraud Detection. In IEEE ACCESS. ISSN 2169-3536, 2023, vol. 11, p. 30628-30638. Dostupné na: https://doi.org/10.1109/ACCESS.2023.3262020, Registrované v: WOS
[1.1] MIKKILI, Indira - KARLAPUDI, Abraham Peele - VENKATESWARULU, T. C. - KODALI, Vidya Prabhakar - MACAMDAS, Deepika Sri Singh - SREERAMA, Krupanidhi. Potential of artificial intelligence to accelerate diagnosis and drug discovery for COVID-19. In PEERJ. ISSN 2167-8359, 2021, vol. 9, no., pp. Dostupné na: https://doi.org/10.7717/peerj.12073, Registrované v: WOS
[1.1] MON, K.Y. - KONDO, M. - CHOI, E. - MIZUNO, O. Commit-Based Class-Level Defect Prediction for Python Projects. In IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS. ISSN 0916-8532, FEB 2023, vol. E106D, no. 2, p. 157-165. Dostupné na: https://doi.org/10.1587/transinf.2022MPP0003, Registrované v: WOS
[1.1] MORO, Sergio - ESMERADO, Joaquim - RAMOS, Pedro - ALTURAS, Braulio. Evaluating a guest satisfaction model through data mining. In INTERNATIONAL JOURNAL OF CONTEMPORARY HOSPITALITY MANAGEMENT. ISSN 0959-6119, 2019, vol. 32, no. 4, pp. 1523-1538., Registrované v: WOS
[1.1] MUHAMMAD, Amina N. - ASEERE, Ali M. - CHIROMA, Haruna - SHAH, Habib - GITAL, Abdulsalam Y. - HASHEM, Ibrahim Abaker Targio. Deep learning application in smart cities: recent development, taxonomy, challenges and research prospects. In NEURAL COMPUTING & APPLICATIONS. ISSN 0941-0643, 2020, vol., no., pp., Registrované v: WOS
[1.1] MUKHAMEDIEV, Ravil - KUCHIN, Yan - AMIRGALIYEV, Yedilkhan - YUNICHEVA, Nadiya - MUHAMEDIJEVA, Elena. Estimation of Filtration Properties of Host Rocks in Sandstone-Type Uranium Deposits Using Machine Learning Methods. In IEEE ACCESS. ISSN 2169-3536, 2022, vol. 10, no., pp. 18855-18872. Dostupné na: https://doi.org/10.1109/ACCESS.2022.3149625, Registrované v: WOS
[1.1] MUKHAMEDIEV, Ravil - POPOVA, Yelena - KUCHIN, Yan - ZAITSEVA, Elena - KALIMOLDAYEV, Almas - SYMAGULOV, Adilkhan - LEVASHENKO, Vitaly - ABDOLDINA, Farida - GOPEJENKO, Viktors - YAKUNIN, Kirill - MUHAMEDIJEVA, Elena - YELIS, Marina. Review of Artificial Intelligence and Machine Learning Technologies: Classification, Restrictions, Opportunities and Challenges. In MATHEMATICS, 2022, vol. 10, no. 15, pp. Dostupné na: https://doi.org/10.3390/math10152552, Registrované v: WOS
[1.1] MUKHAMEDIEV, Ravil - SYMAGULOV, Adilkhan - KUCHIN, Yan - YAKUNIN, Kirill - YELIS, Marina. From Classical Machine Learning to Deep Neural Networks: A Simplified Scientometric Review. In APPLIED SCIENCES-BASEL, 2021, vol. 11, no. 12, pp., Registrované v: WOS
[1.1] MéNDEZ-GURROLA, I.I. - RAMíREZ-REYES, A. - BARRANCO-GUTIéRREZ, A.I. A Review and Perspective on the Main Machine Learning Methods Applied to Physical Sciences. In ACTA POLYTECHNICA HUNGARICA. ISSN 1785-8860, 2022, vol. 19, no. 10, p. 205-220., Registrované v: WOS
[1.1] NADI, S. - SAKR, N. Selecting third-party libraries: the data scientist's perspective. In EMPIRICAL SOFTWARE ENGINEERING. ISSN 1382-3256, JAN 2023, vol. 28, no. 1. Dostupné na: https://doi.org/10.1007/s10664-022-10241-3, Registrované v: WOS
[1.1] NAGY, Eniko - LOVAS, Robert - PINTYE, Istvan - HAJNAL, Akos - KACSUK, Peter. Cloud-agnostic architectures for machine learning based on Apache Spark. In ADVANCES IN ENGINEERING SOFTWARE. ISSN 0965-9978, 2021, vol. 159, no., pp., Registrované v: WOS
[1.1] NAJAFI, B. - NAJAFI, A. - FARAHMANDIAN, A. The Impact of Artificial Intelligence and Blockchain on Six Sigma: A Systematic Literature Review of the Evidence and Implications. In IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT. ISSN 0018-9391, 2023 NOV 3 2023. Dostupné na: https://doi.org/10.1109/TEM.2023.3324542, Registrované v: WOS
[1.1] NARAYANANKUTTY, Hrishikesh. Self-Adapting Model-Based SDSec For IoT Networks Using Machine Learning. In 2021 IEEE 18TH INTERNATIONAL CONFERENCE ON SOFTWARE ARCHITECTURE COMPANION (ICSA-C), 2021, vol., no., pp. 92-93., Registrované v: WOS
[1.1] NARIMATSU, Hiromi - KASAI, Hiroyuki. OVERLAPPED STATE HIDDEN SEMI-MARKOV MODEL FOR GROUPED MULTIPLE SEQUENCES. In 2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING. ISSN 1520-6149, 2020, vol., no., pp. 3397-3401., Registrované v: WOS
[1.1] NARKHEDE, Meenal V. - BARTAKKE, Prashant P. - SUTAONE, Mukul S. A review on weight initialization strategies for neural networks. In ARTIFICIAL INTELLIGENCE REVIEW. ISSN 0269-2821, 2021, vol., no., pp., Registrované v: WOS
[1.1] NAYAK, Swarajya Laxmi - SETHI, Shruti - SAHOO, Rabi Narayan - DUBEY, Anil Kumar - GOEL, Swati. Potential of X-ray imaging to detect citrus granulation in different cultivars with progress in harvesting time. In INDIAN JOURNAL OF EXPERIMENTAL BIOLOGY. ISSN 0019-5189, 2022, vol. 60, no. 4, pp. 263-268., Registrované v: WOS
[1.1] NAZLIEL, K. - KAYABAY, K. - GÖKALP, M.O. - GÖKALP, E. - EREN, E. Data science technology selection: development of a decision-making approach. In 2022 IEEE Technology and Engineering Management Conference (TEMSCON EUROPE). ISBN 978-1-6654-8314-8, 2022, pp. 172-178. Dostupné na: https://doi.org/ 10.1109/TEMSCONEUROPE54743.2022.9802054, Registrované v: WOS
[1.1] NEJAD, S.M.M. - ABBASI-MOGHADAM, D. - SHARIFI, A. - FARMONOV, N. - AMANKULOVA, K. - LASZLZ, M. Multispectral Crop Yield Prediction Using 3D-Convolutional Neural Networks and Attention Convolutional LSTM Approaches. In IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING. ISSN 1939-1404, 2023, vol. 16, p. 254-266. Dostupné na: https://doi.org/10.1109/JSTARS.2022.3223423, Registrované v: WOS
[1.1] NOOR, F. - ASIF, M. - ASHFAQ, U.A. - QASIM, M. - UL QAMAR, M.T. Machine learning for synergistic network pharmacology: a comprehensive overview. In BRIEFINGS IN BIOINFORMATICS. ISSN 1467-5463, MAY 19 2023, vol. 24, no. 3. Dostupné na: https://doi.org/10.1093/bib/bbad120, Registrované v: WOS
[1.1] PAN, Qianqian - WU, Jun - BASHIR, Ali Kashif - LI, Jianhua - WU, Jie. Side-Channel Fuzzy Analysis-Based AI Model Extraction Attack With Information-Theoretic Perspective in Intelligent IoT. In IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, vol. 30, no. 11, pp. 4642-4656. ISSN 1063-6706. Dostupné na: https://doi.org/10.1109/TFUZZ.2022.3172991, Registrované v: WOS
[1.1] PANWAR, Harsh - GUPTA, P. K. - SIDDIQUI, Mohammad Khubeb - MORALES-MENENDEZ, Ruben - BHARDWAJ, Prakhar - SINGH, Vaishnavi. A deep learning and grad-CAM based color visualization approach for fast detection of COVID-19 cases using chest X-ray and CT-Scan images. In CHAOS SOLITONS & FRACTALS. ISSN 0960-0779, 2020, vol. 140, no., pp., Registrované v: WOS
[1.1] PARHIZKAR, Mahboub - AMIRFAKHRIAN, Majid. Car detection and damage segmentation in the real scene using a deep learning approach. In INTERNATIONAL JOURNAL OF INTELLIGENT ROBOTICS AND APPLICATIONS. ISSN 2366-5971, 2022, vol., no., pp. Dostupné na: https://doi.org/10.1007/s41315-022-00231-5, Registrované v: WOS
[1.1] PASRIJA, Purvashi - JHA, Prakash - UPADHYAYA, Pruthvi - KHAN, Mohd. Shoaib - CHOPRA, Madhu. Machine Learning and Artificial Intelligence: A Paradigm Shift in Big Data-Driven Drug Design and Discovery. In CURRENT TOPICS IN MEDICINAL CHEMISTRY, 2022, vol. 22, no. 20, pp. 1692-1727. ISSN 1568-0266. Dostupné na: https://doi.org/10.2174/1568026622666220701091339, Registrované v: WOS
[1.1] PHU PHAM - LOAN T T NGUYEN - PEDRYCZ, Witold - VO, Bay. Deep learning, graph-based text representation and classification: a survey, perspectives and challenges. In ARTIFICIAL INTELLIGENCE REVIEW, 2022, vol., no., pp. ISSN 0269-2821. Dostupné na: https://doi.org/10.1007/s10462-022-10265-7, Registrované v: WOS
[1.1] PINTYE, Istvan - KAIL, Eszter - KACSUK, Peter - LOVAS, Robert. Big data and machine learning framework for clouds and its usage for text classification. In CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE. ISSN 1532-0626, 2020, vol., no., pp., Registrované v: WOS
[1.1] PIO, P.B. - RIVOLLI, A. - DE CARVALHO, A.C.P.L.F. - GARCIA, L.P.F. A review on preprocessing algorithm selection with meta-learning. In KNOWLEDGE AND INFORMATION SYSTEMS. ISSN 0219-1377, 2023 AUG 28 2023. Dostupné na: https://doi.org/10.1007/s10115-023-01970-y, Registrované v: WOS
[1.1] PLOU, Javier - VALERA, Pablo S. - GARCIA, Isabel - DE ALBUQUERQUE, Carlos D. L. - CARRACEDO, Arkaitz - LIZ-MARZAN, Luis M. Prospects of Surface-Enhanced Raman Spectroscopy for Biomarker Monitoring toward Precision Medicine. In ACS PHOTONICS. ISSN 2330-4022, 2022, vol. 9, no. 2, pp. 333-350. Dostupné na: https://doi.org/10.1021/acsphotonics.1c01934, Registrované v: WOS
[1.1] PRIYANKARA, Prabath - RANAGALAGE, Manjula - DISSANAYAKE, D. M. S. L. B. - MORIMOTO, Takehiro - MURAYAMA, Yuji. Spatial Process of Surface Urban Heat Island in Rapidly Growing Seoul Metropolitan Area for Sustainable Urban Planning Using Landsat Data (1996-2017). In CLIMATE, 2019, vol. 7, no. 9, pp., Registrované v: WOS
[1.1] PUDARUTH, Sameerchand - SOYJAUDAH, Sunjiv - GUNPUTH, Rajendra. Classification of Legislations using Deep Learning. In INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY. ISSN 1683-3198, 2021, vol. 18, no. 5, pp. 651-662. Dostupné na: https://doi.org/10.34028/iajit/18/5/4, Registrované v: WOS
[1.1] QIU, W.W. - YU, H.T. - TSAI, C.H. - ZHU, D. - CHEN, M.H. - KIM, H.J. Understanding the value of host-guest intimacy behind online reviews of Airbnb. In INTERNATIONAL JOURNAL OF HOSPITALITY MANAGEMENT. ISSN 0278-4319, OCT 2023, vol. 115. Dostupné na: https://doi.org/10.1016/j.ijhm.2023.103599, Registrované v: WOS
[1.1] RAHAL, J.R. - SCHWARZ, A. - SAHELICES, B. - WEIS, R. - ANTóN, S.D. The asset administration shell as enabler for predictive maintenance: a review. In JOURNAL OF INTELLIGENT MANUFACTURING. ISSN 0956-5515, 2023 NOV 8 2023. Dostupné na: https://doi.org/10.1007/s10845-023-02236-8, Registrované v: WOS
[1.1] RAJABIZADEH, Mahdi - REZGHI, Mansoor. A comparative study on image-based snake identification using machine learning. In SCIENTIFIC REPORTS. ISSN 2045-2322, 2021, vol. 11, no. 1, pp. Dostupné na: https://doi.org/10.1038/s41598-021-96031-1, Registrované v: WOS
[1.1] RANAGALAGE, Manjula - GUNARATHNA, M. H. J. P. - SURASINGHE, Thilina D. - DISSANAYAKE, Dmslb - SIMWANDA, Matamyo - MURAYAMA, Yuji - MORIMOTO, Takehiro - PHIRI, Darius - NYIRENDA, Vincent R. - PREMAKANTHA, K. T. - SATHURUSINGHE, Anura. Multi-Decadal Forest-Cover Dynamics in the Tropical Realm: Past Trends and Policy Insights for Forest Conservation in Dry Zone of Sri Lanka. In FORESTS, 2020, vol. 11, no. 8, pp., Registrované v: WOS
[1.1] RANAGALAGE, Manjula - WANG, Ruci - GUNARATHNA, M. H. J. P. - DISSANAYAKE, D. M. S. L. B. - MURAYAMA, Yuji - SIMWANDA, Matamyo. Spatial Forecasting of the Landscape in Rapidly Urbanizing Hill Stations of South Asia: A Case Study of Nuwara Eliya, Sri Lanka (1996-2037). In REMOTE SENSING, 2019, vol. 11, no. 15, pp., Registrované v: WOS
[1.1] RATHORE, Narendra Pal Singh - PRASAD, Lalji. A comprehensive review of deep learning models for plant disease identification and prediction. In INTERNATIONAL JOURNAL OF ENGINEERING SYSTEMS MODELLING AND SIMULATION. ISSN 1755-9758, 2021, vol. 12, no. 2-3, pp. 165-179., Registrované v: WOS
[1.1] REIER FORRADELLAS, Ricardo Francisco - GARAY GALLASTEGUI, Luis Miguel. Digital Transformation and Artificial Intelligence Applied to Business: Legal Regulations, Economic Impact and Perspective. In LAWS, 2021, vol. 10, no. 3, pp. Dostupné na: https://doi.org/10.3390/laws10030070, Registrované v: WOS
[1.1] REIMANN, L. - KNIESEL-WüNSCHE, G. Safe-DS: A Domain Specific Language to Make Data Science Safe. In 2023 IEEE/ACM 45TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING-NEW IDEAS AND EMERGING RESULTS, ICSE-NIER. ISSN 2832-7624, 2023, p. 72-77. Dostupné na: https://doi.org/10.1109/ICSE-NIER58687.2023.00019, Registrované v: WOS
[1.1] REN, Shao-Fei - ZHAO, Peng-Fei - WANG, Shi-Ping - LIU, Yong-Ze. Damage prediction of stiffened plates subjected to underwater contact explosion using the machine learning-based method. In OCEAN ENGINEERING, 2022, vol. 266, no., pp. ISSN 0029-8018. Dostupné na: https://doi.org/10.1016/j.oceaneng.2022.112839, Registrované v: WOS
[1.1] REZAEE, Reza. Synthesizing Nuclear Magnetic Resonance (NMR) Outputs for Clastic Rocks Using Machine Learning Methods, Examples from North West Shelf and Perth Basin, Western Australia. In ENERGIES, 2022, vol. 15, no. 2, pp. Dostupné na: https://doi.org/10.3390/en15020518, Registrované v: WOS
[1.1] RIGON, Riccardo - FORMETTA, Giuseppe - BANCHERI, Marialaura - TUBINI, Niccolo - D'AMATO, Concetta - DAVID, Olaf - MASSARI, Christian. HESS Opinions: Participatory Digital eARth Twin Hydrology systems (DARTHs) for everyone a blueprint for hydrologists. In HYDROLOGY AND EARTH SYSTEM SCIENCES, 2022, vol. 26, no. 18, pp. 4773-4800. ISSN 1027-5606. Dostupné na: https://doi.org/10.5194/hess-26-4773-2022, Registrované v: WOS
[1.1] RITHANI, M. - KUMAR, R.P. - DOSS, S. A review on big data based on deep neural network approaches. In ARTIFICIAL INTELLIGENCE REVIEW. ISSN 0269-2821, DEC 2023, vol. 56, no. 12, p. 14765-14801. Dostupné na: https://doi.org/10.1007/s10462-023-10512-5, Registrované v: WOS
[1.1] RIVAS-BLANCO, Irene - PEREZ-DEL-PULGAR, Carlos J. - GARCIA-MORALES, Isabel - MUNOZ, Victor F. A Review on Deep Learning in Minimally Invasive Surgery. In IEEE ACCESS. ISSN 2169-3536, 2021, vol. 9, no., pp. 48658-48678., Registrované v: WOS
[1.1] RODIC, Lea Dujic - ZUPANOVIC, Tomislav - PERKOVIC, Toni - SOLIC, Petar - RODRIGUES, Joel J. P. C. Machine Learning and Soil Humidity Sensing: Signal Strength Approach. In ACM TRANSACTIONS ON INTERNET TECHNOLOGY, 2022, vol. 22, no. 2, pp. ISSN 1533-5399. Dostupné na: https://doi.org/10.1145/3418207, Registrované v: WOS
[1.1] ROHRMANSTORFER, Stefan - KOMAROV, Mikhail - MOEDRITSCHER, Felix. Image Classification for the Automatic Feature Extraction in Human Worn Fashion Data. In MATHEMATICS, 2021, vol. 9, no. 6, pp., Registrované v: WOS
[1.1] ROSENDO, Daniel - COSTAN, Alexandru - VALDURIEZ, Patrick - ANTONIU, Gabriel. Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature review. In JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2022, vol. 166, no., pp. 71-94. ISSN 0743-7315. Dostupné na: https://doi.org/10.1016/j.jpdc.2022.04.004, Registrované v: WOS
[1.1] SABRY, Farida - ELTARAS, Tamer - LABDA, Wadha - ALZOUBI, Khawla - MALLUHI, Qutaibah. Machine Learning for Healthcare Wearable Devices: The Big Picture. In JOURNAL OF HEALTHCARE ENGINEERING, 2022, vol. 2022, no., pp. ISSN 2040-2295. Dostupné na: https://doi.org/10.1155/2022/4653923, Registrované v: WOS
[1.1] SAHA, Ashirbani - TSO, Samantha - RABSKI, Jessica - SADEGHIAN, Alireza - CUSIMANO, Michael D. Machine learning applications in imaging analysis for patients with pituitary tumors: a review of the current literature and future directions. In PITUITARY. ISSN 1386-341X, 2020, vol. 23, no. 3, pp. 273-293., Registrované v: WOS
[1.1] SEDGHI, Leila - IJAZ, Zohaib - NOOR-A-RAHIM, Md - WITHEEPHANICH, Kritchai - PESCH, Dirk. Machine Learning in Event-Triggered Control: Recent Advances and Open Issues. In IEEE ACCESS, 2022, vol. 10, no., pp. 74671-74690. ISSN 2169-3536. Dostupné na: https://doi.org/10.1109/ACCESS.2022.3191343, Registrované v: WOS
[1.1] SHI, Qiongfeng - DONG, Bowei - HE, Tianyiyi - SUN, Zhongda - ZHU, Jianxiong - ZHANG, Zixuan - LEE, Chengkuo. Progress in wearable electronics/photonics-Moving toward the era of artificial intelligence and internet of things. In INFOMAT, 2020, vol., no., pp., Registrované v: WOS
[1.1] SHI, Yong - LI, Bo - LONG, Wen - DAI, Wei. Method for Improving the Performance of Technical Analysis Indicators By Neural Network Models. In COMPUTATIONAL ECONOMICS. ISSN 0927-7099, 2021, vol., no., pp., Registrované v: WOS
[1.1] SIENKIEWICZ-MALYJUREK, K. Whether AI adoption challenges matter for public managers? The case of Polish cities. In GOVERNMENT INFORMATION QUARTERLY. ISSN 0740-624X, JUN 2023, vol. 40, no. 3. Dostupné na: https://doi.org/10.1016/j.giq.2023.101828, Registrované v: WOS
[1.1] SINGH, Neelam - SINGH, Devesh Pratap - PANT, Bhasker. Big Data Knowledge Discovery as a Service: Recent Trends and Challenges. In WIRELESS PERSONAL COMMUNICATIONS. ISSN 0929-6212, 2021, vol., no., pp. Dostupné na: https://doi.org/10.1007/s11277-021-09213-5, Registrované v: WOS
[1.1] SINGH, Nehul - CHOUHAN, Satyendra Singh. Role of Artificial Intelligence for Development of Intelligent Business Systems. In 2021 IEEE INTERNATIONAL SYMPOSIUM ON SMART ELECTRONIC SYSTEMS (ISES 2021), 2021, vol., no., pp. 373-377. Dostupné na: https://doi.org/10.1109/iSES52644.2021.00092, Registrované v: WOS
[1.1] SINGH, Nitu - MALIK, Sunny - GUPTA, Anvita - SRIVASTAVA, Kinshuk Raj. Revolutionizing enzyme engineering through artificial intelligence and machine learning. In EMERGING TOPICS IN LIFE SCIENCES. ISSN 2397-8554, 2021, vol. 5, no. 1, pp. 113-125., Registrované v: WOS
[1.1] SOHAIL, Muhammad Umer - HAMDANI, Hossein Raza - ISLAM, Asad - PARVEZ, Khalid - KHAN, Abdul Munem - ALLAUDDIN, Usman - KHURRAM, Muhammad - ELAHI, Hassan. Prediction of Non-Uniform Distorted Flows, Effects on Transonic Compressor Using CFD, Regression Analysis and Artificial Neural Networks. In APPLIED SCIENCES-BASEL, 2021, vol. 11, no. 8, pp., Registrované v: WOS
[1.1] SONG, Hwanjun - KIM, Minseok - PARK, Dongmin - SHIN, Yooju - LEE, Jae-Gil. Learning From Noisy Labels With Deep Neural Networks: A Survey. In IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. ISSN 2162-237X, 2022, vol., no., pp. Dostupné na: https://doi.org/10.1109/TNNLS.2022.3152527, Registrované v: WOS
[1.1] SOULA, Madalena - KARANIKA, Anna - KOLOMVATSOS, Kostas - ANAGNOSTOPOULOS, Christos - STAMOULIS, George. Intelligent tasks allocation at the edge based on machine learning and bio-inspired algorithms. In EVOLVING SYSTEMS. ISSN 1868-6478, 2021, vol., no., pp., Registrované v: WOS
[1.1] SUN, Xiaoyong - SU, Shaojing - WEI, Junyu - GUO, Xiaojun - TAN, Xiaopeng. Monitoring of OSNR Using an Improved Binary Particle Swarm Optimization and Deep Neural Network in Coherent Optical Systems. In PHOTONICS, 2019, vol. 6, no. 4, pp., Registrované v: WOS
[1.1] SUNDAR, Harshavardhan - WANG, Weiran - SUN, Ming - WANG, Chao. RAW WAVEFORM BASED END-TO-END DEEP CONVOLUTIONAL NETWORK FOR SPATIAL LOCALIZATION OF MULTIPLE ACOUSTIC SOURCES. In 2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING. ISSN 1520-6149, 2020, vol., no., pp. 4642-4646., Registrované v: WOS
[1.1] TALEBKHAH, M. - SALI, A. - GORDAN, M. - HASHIM, S.J. - ROKHANI, F.Z. Comprehensive Review on Development of Smart Cities Using Industry 4.0 Technologies. In IEEE ACCESS. ISSN 2169-3536, 2023, vol. 11, p. 91981-92030. Dostupné na: https://doi.org/10.1109/ACCESS.2023.3302262, Registrované v: WOS
[1.1] TARIQ, Muhammad Usman - POULIN, Marc - ABONAMAH, Abdullah A. Achieving Operational Excellence Through Artificial Intelligence: Driving Forces and Barriers. In FRONTIERS IN PSYCHOLOGY. ISSN 1664-1078, 2021, vol. 12, no., pp., Registrované v: WOS
[1.1] TAWIAH, Thomas Andzi-Quainoo. A review of algorithms and techniques for image-based recognition and inference in mobile robotic systems. In INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS. ISSN 1729-8814, 2020, vol. 17, no. 6, pp., Registrované v: WOS
[1.1] TIAN, W.D. - QU, J. - LIU, B. - CUI, Z. - HU, M.G. Parameter prediction of oilfield gathering station reservoir based on feature selection and long short-term memory network. In MEASUREMENT. ISSN 0263-2241, JAN 2023, vol. 206. Dostupné na: https://doi.org/10.1016/j.measurement.2022.112317, Registrované v: WOS
[1.1] TOGACAR, Mesut - COMERT, Zafer - ERGEN, Burhan. Enhancing of dataset using DeepDream, fuzzy color image enhancement and hypercolumn techniques to detection of the Alzheimer's disease stages by deep learning model. In NEURAL COMPUTING & APPLICATIONS. ISSN 0941-0643, 2021, vol., no., pp., Registrované v: WOS
[1.1] TORRES, Jose F. - HADJOUT, Dalil - SEBAA, Abderrazak - MARTINEZ-ALVAREZ, Francisco - TRONCOSO, Alicia. Deep Learning for Time Series Forecasting: A Survey. In BIG DATA. ISSN 2167-6461, 2020, vol., no., pp., Registrované v: WOS
[1.1] TRIPATHI, Manish Kumar - NATH, Abhigyan - SINGH, Tej P. - ETHAYATHULLA, A. S. - KAUR, Punit. Evolving scenario of big data and Artificial Intelligence (AI) in drug discovery. In MOLECULAR DIVERSITY. ISSN 1381-1991, 2021, vol. 25, no. 3, pp. 1439-1460., Registrované v: WOS
[1.1] TRUONG, Hong-Linh - NGUYEN, Tri-Minh. QoA4ML-A Framework for Supporting Contracts in Machine Learning Services. In 2021 IEEE INTERNATIONAL CONFERENCE ON WEB SERVICES, ICWS 2021, 2021, vol., no., pp. 465-475. Dostupné na: https://doi.org/10.1109/ICWS53863.2021.00066, Registrované v: WOS
[1.1] TULBURE, Mirela G. - HOSTERT, Patrick - KUEMMERLE, Tobias - BROICH, Mark. Regional matters: On the usefulness of regional land-cover datasets in times of global change. In REMOTE SENSING IN ECOLOGY AND CONSERVATION, 2021, vol., no., pp. Dostupné na: https://doi.org/10.1002/rse2.248, Registrované v: WOS
[1.1] UL ALAM, Mahbub - RAHMANI, Rahim. Federated Semi-Supervised Multi-Task Learning to Detect COVID-19 and Lungs Segmentation Marking Using Chest Radiography Images and Raspberry Pi Devices: An Internet of Medical Things Application. In SENSORS, 2021, vol. 21, no. 15, pp., Registrované v: WOS
[1.1] VANOEFFELEN, Margo - NGUYEN, Marcus - AYTAN-AKTUG, Derya - BRETTIN, Thomas - DIETRICH, Emily M. - KENYON, Ronald W. - MACHI, Dustin - MAO, Chunhong - OLSON, Robert - PUSCH, Gordon D. - SHUKLA, Maulik - STEVENS, Rick - VONSTEIN, Veronika - WARREN, Andrew S. - WATTAM, Alice R. - YOO, Hyunseung - DAVIS, James J. A genomic data resource for predicting antimicrobial resistance from laboratory-derived antimicrobial susceptibility phenotypes. In BRIEFINGS IN BIOINFORMATICS, 2021, vol. 22, no. 6, pp. ISSN 1467-5463. Dostupné na: https://doi.org/10.1093/bib/bbab313, Registrované v: WOS
[1.1] VINOD, B. Artificial Intelligence in travel. In JOURNAL OF REVENUE AND PRICING MANAGEMENT. ISSN 1476-6930, 2021, vol., no., pp., Registrované v: WOS
[1.1] WANG, Bo - MA, Sheng - LIU, Zhong - HUANG, Libo - YUAN, Yuan - DAI, Yi. SADD: A Novel Systolic Array Accelerator with Dynamic Dataflow for Sparse GEMM in Deep Learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2022-01-01, 13615 LNCS, pp. 42-53. ISSN 03029743. Dostupné na: https://doi.org/10.1007/978-3-031-21395-3_4, Registrované v: WOS
[1.1] WANG, Hanxiang - LI, Yanfen - DANG, L. Minh - KO, Jaesung - HAN, Dongil - MOON, Hyeonjoon. Smartphone-based bulky waste classification using convolutional neural networks. In MULTIMEDIA TOOLS AND APPLICATIONS. ISSN 1380-7501, 2020, vol., no., pp., Registrované v: WOS
[1.1] WANG, Hei-Chia - HSIAO, Wei-Ching - CHANG, Sheng-Han. Automatic paper writing based on a RNN and the TextRank algorithm. In APPLIED SOFT COMPUTING. ISSN 1568-4946, 2020, vol. 97, no., pp., Registrované v: WOS
[1.1] WANG, Min - LV, Zhihan. Construction of personalized learning and knowledge system of chemistry specialty via the internet of things and clustering algorithm. In JOURNAL OF SUPERCOMPUTING. ISSN 0920-8542, 2022, vol., no., pp. Dostupné na: https://doi.org/10.1007/s11227-022-04315-8, Registrované v: WOS
[1.1] WANG, Qiang - CHEN, Long - ZHAO, Jun - WANG, Wei. A deep granular network with adaptive unequal-length granulation strategy for long-term time series forecasting and its industrial applications. In ARTIFICIAL INTELLIGENCE REVIEW. ISSN 0269-2821, 2020, vol., no., pp., Registrované v: WOS
[1.1] WANG, Tinghua - ZHANG, Lin - HU, Wenyu. Bridging deep and multiple kernel learning: A review. In INFORMATION FUSION. ISSN 1566-2535, 2021, vol. 67, no., pp. 3-13., Registrované v: WOS
[1.1] WANG, Wenle - CHEN, Jinquan - ZHU, Yujie - FENG, Feng. Activity prediction of aminoquinoline drugs based on deep learning. In BIOTECHNOLOGY AND APPLIED BIOCHEMISTRY. ISSN 0885-4513, 2020, vol., no., pp., Registrované v: WOS
[1.1] WANG, Yao. Financial Early Warning Model for Listed Companies Based on the Smart Sensor Data Network. In JOURNAL OF SENSORS, 2022, vol. 2022, no., pp. ISSN 1687-725X. Dostupné na: https://doi.org/10.1155/2022/7666354, Registrované v: WOS
[1.1] WEI, Zheng - HE, Qiu - ZHAO, Yan. Machine learning for battery research. In JOURNAL OF POWER SOURCES, 2022, vol. 549, no., pp. ISSN 0378-7753. Dostupné na: https://doi.org/10.1016/j.jpowsour.2022.232125, Registrované v: WOS
[1.1] WOO, M. - JORDAN, T. - NANDI, T. - DIETIKER, J.F. - GUENTHER, C. - VAN ESSENDELFT, D. Development of an equation-based parallelization method for multiphase particle-in-cell simulations. In ENGINEERING WITH COMPUTERS. ISSN 0177-0667, MAR 2023, vol. 39, no. 5, p. 3577-3591. Dostupné na: https://doi.org/10.1007/s00366-022-01768-6, Registrované v: WOS
[1.1] WU, Xiongfei - YANG, Jinqiu - MA, Lei - XUE, Yinxing - ZHAO, Jianjun. On the usage and development of deep learning compilers: an empirical study on TVM. In EMPIRICAL SOFTWARE ENGINEERING, 2022, vol. 27, no. 7, pp. ISSN 1382-3256. Dostupné na: https://doi.org/10.1007/s10664-022-10221-7, Registrované v: WOS
[1.1] WU, Yingli - TONG, Guangji. The evaluation of agricultural enterprise's innovative borrowing capacity based on deep learning and BP neural network. In INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT. ISSN 0975-6809, 2021, vol., no., pp. Dostupné na: https://doi.org/10.1007/s13198-021-01462-8, Registrované v: WOS
[1.1] XIE, Ming - ZHANG, Zhenduo - ZHENG, Wenbo - LI, Ying - CAO, Kai. Multi-Frame Star Image Denoising Algorithm Based on Deep Reinforcement Learning and Mixed Poisson-Gaussian Likelihood. In SENSORS, 2020, vol. 20, no. 21, pp., Registrované v: WOS
[1.1] XU, Chunbo. Random Matrix-Based Multivariate Statistical Analysis of Enterprises in a Distributed Environment Human Resource Management. In MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, vol. 2022, no., pp. ISSN 1024-123X. Dostupné na: https://doi.org/10.1155/2022/7020190, Registrované v: WOS
[1.1] XU, H.H. - LI, W. - CAI, Z.P. Analysis on methods to effectively improve transfer learning performance. In THEORETICAL COMPUTER SCIENCE. ISSN 0304-3975, JAN 9 2023, vol. 940, B, p. 90-107. Dostupné na: https://doi.org/10.1016/j.tcs.2022.09.023, Registrované v: WOS
[1.1] YANG, Hang - HU, Xin-Rong - SUN, Ling - HONG, Dian - ZHENG, Ying-Yi - XIN, Ying - LIU, Hui - LIN, Min-Yin - WEN, Long - LIANG, Dong-Po - WANG, Shu-Shui. Automated Facial Recognition for Noonan Syndrome Using Novel Deep Convolutional Neural Network With Additive Angular Margin Loss. In FRONTIERS IN GENETICS, 2021, vol. 12, no., pp., Registrované v: WOS
[1.1] YOUSAF, Adnan - ASIF, Rao Muhammad - SHAKIR, Mustafa - REHMAN, Ateeq Ur - S. ADREES, Mohmmed. An Improved Residential Electricity Load Forecasting Using a Machine-Learning-Based Feature Selection Approach and a Proposed Integration Strategy. In SUSTAINABILITY, 2021, vol. 13, no. 11, pp., Registrované v: WOS
[1.1] ZALEHA, S. H. - ITHNIN, Nora - WAHAB, Nur Haliza Abdul - SUNAR, Noorhazirah. Intelligent Locking System using Deep Learning for Autonomous Vehicle in Internet of Things. In INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2021, vol. 12, no. 10, pp. 565-578. ISSN 2158-107X., Registrované v: WOS
[1.1] ZEINALPOUR, Alireza - AHMED, Hassan A. Addressing the Effectiveness of DDoS-Attack Detection Methods Based on the Clustering Method Using an Ensemble Method. In ELECTRONICS, 2022, vol. 11, no. 17, pp. Dostupné na: https://doi.org/10.3390/electronics11172736, Registrované v: WOS
[1.1] ZENG, L.X. - LIU, L. - CHEN, D.X. - LU, H.H. - XUE, Y. - BI, H.J. - YANG, W.W. The innovative model based on artificial intelligence algorithms to predict recurrence risk of patients with postoperative breast cancer. In FRONTIERS IN ONCOLOGY. ISSN 2234-943X, MAR 7 2023, vol. 13. Dostupné na: https://doi.org/10.3389/fonc.2023.1117420, Registrované v: WOS
[1.1] ZEYDAN, Engin - MANGUES-BAFALLUY, Josep. Recent Advances in Data Engineering for Networking. In IEEE ACCESS. ISSN 2169-3536, 2022, vol. 10, no., pp. 34449-34496. Dostupné na: https://doi.org/10.1109/ACCESS.2022.3162863, Registrované v: WOS
[1.1] ZHANG, B.Q. - LIU, T.Y. - LIANG, P. - WANG, C. - SHAHIN, M. - YU, J.X. Architecture Decisions in AI -based Systems Development: An Empirical Study. In 2023 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE ANALYSIS, EVOLUTION AND REENGINEERING, SANER. ISSN 1534-5351, 2023, p. 616-626. Dostupné na: https://doi.org/10.1109/SANER56733.2023.00063, Registrované v: WOS
[1.1] ZHANG, C.S. - DIAO, C.Y. A Phenology-guided Bayesian-CNN (PB-CNN) framework for soybean yield estimation and uncertainty analysis. In ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING. ISSN 0924-2716, NOV 2023, vol. 205, p. 50-73. Dostupné na: https://doi.org/10.1016/j.isprsjprs.2023.09.025, Registrované v: WOS
[1.1] ZHANG, W. - LI, R. - ZHAO, J.P. - WANG, J.W. - MENG, X.Y. - LI, Q. Miss-gradient boosting regression tree: a novel approach to imputing water treatment data. In APPLIED INTELLIGENCE. ISSN 0924-669X, OCT 2023, vol. 53, no. 19, p. 22917-22937. Dostupné na: https://doi.org/10.1007/s10489-023-04828-6, Registrované v: WOS
[1.1] ZHANG, Wengang - LI, Hongrui - LI, Yongqin - LIU, Hanlong - CHEN, Yumin - DING, Xuanming. Application of deep learning algorithms in geotechnical engineering: a short critical review. In ARTIFICIAL INTELLIGENCE REVIEW. ISSN 0269-2821, 2021, vol., no., pp., Registrované v: WOS
[1.1] ZHANG, X.L. - DONG, X.L. - SARIPAN, M.I.B. - DU, D.Y. - WU, Y.J. - WANG, Z.X. - CAO, Z.D. - WEN, D. - LIU, Y.L. - MARHABAN, M.H. Deep learning PET/CT-based radiomics integrates clinical data: A feasibility study to distinguish between tuberculosis nodules and lung cancer. In THORACIC CANCER. ISSN 1759-7706, JUL 2023, vol. 14, no. 19, p. 1802-1811. Dostupné na: https://doi.org/10.1111/1759-7714.14924, Registrované v: WOS
[1.1] ZHANG, Y.F. Large Data Oriented to Image Information Fusion Spark and Improved Fruit Fly Optimization Based on the Density Clustering Algorithm. In ADVANCES IN MULTIMEDIA. ISSN 1687-5680, MAR 27 2023, vol. 2023. Dostupné na: https://doi.org/10.1155/2023/5596605, Registrované v: WOS
[1.1] ZHANG, Zejun - YANG, Yanming - XIA, Xin - LO, David - REN, Xiaoxue - GRUNDY, John. Unveiling the Mystery of API Evolution in Deep Learning Frameworks A Case Study of Tensorflow 2. In 2021 IEEE/ACM 43RD INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: SOFTWARE ENGINEERING IN PRACTICE (ICSE-SEIP 2021), 2021, vol., no., pp. 238-247. Dostupné na: https://doi.org/10.1109/ICSE-SEIP52600.2021.00033, Registrované v: WOS
[1.1] ZHIQIANG, Liu - MOHI-UD-DIN, Ghulam - JIANGBIN, Zheng - SIFEI, Wang - ASIM, Muhammad. A novel deep learning based security assessment framework for enhanced security in swarm network environment. In INTERNATIONAL JOURNAL OF CRITICAL INFRASTRUCTURE PROTECTION, 2022, vol. 38, no., pp. ISSN 1874-5482. Dostupné na: https://doi.org/10.1016/j.ijcip.2022.100540, Registrované v: WOS
[1.1] ZHU, Y.M. - WANG, M. - YIN, X.F. - ZHANG, J. - MEIJERING, E. - HU, J.K. Deep Learning in Diverse Intelligent Sensor Based Systems. In SENSORS. JAN 2023, vol. 23, no. 1. Dostupné na: https://doi.org/10.3390/s23010062, Registrované v: WOS
[1.1] ZHU, Yu. The prediction model of personality in social networks by using data mining deep learning algorithm and random walk model. In INTERNATIONAL JOURNAL OF ELECTRICAL ENGINEERING EDUCATION. ISSN 0020-7209, 2020, vol., no., pp., Registrované v: WOS
[1.1] ZHUANG, Haoming - LIU, Xiaoping - LIANG, Xun - YAN, Yuchao - HE, Jinqiang - CAI, Yiling - WU, Changjiang - ZHANG, Xinchang - ZHANG, Honghui. Tensor-CA: A high-performance cellular automata model for land use simulation based on vectorization and GPU. In TRANSACTIONS IN GIS. ISSN 1361-1682, 2022, vol. 26, no. 2, pp. 755-778. Dostupné na: https://doi.org/10.1111/tgis.12881, Registrované v: WOS
[1.1] ZHUANG, Haoming - LIU, Xiaoping - YAN, Yuchao - OU, Jinpei - HE, Jialyu - WU, Changjiang. Mapping Multi-Temporal Population Distribution in China from 1985 to 2010 Using Landsat Images via Deep Learning. In REMOTE SENSING, 2021, vol. 13, no. 17, pp., Registrované v: WOS
[1.1] ZILBOVICIUS, Mauro - PIQUEIRA, JosE Roberto C. - SZNELVAR, Laerte. Complexity engineering: New ideas for engineering design and engineering education. In ANAIS DA ACADEMIA BRASILEIRA DE CIENCIAS. ISSN 0001-3765, 2020, vol. 92, no. 3, pp., Registrované v: WOS
[1.2] ABDIKERIMOVA, Gulzira - YESSENOVA, Moldir - YERZHANOVA, Akbota - MANBETOVA, Zhanat - MURZABEKOVA, Gulden - KAIBASSOVA, Dinara - BEKBAYEVA, Roza - ALDASHOVA, Madina. Applying textural Law’s masks to images using machine learning. In International Journal of Electrical and Computer Engineering, 2023-10-01, 13, 5, pp. 5569-5575. ISSN 20888708. Dostupné na: https://doi.org/10.11591/ijece.v13i5.pp5569-5575, Registrované v: SCOPUS
[1.2] ABDULBAQI, Azmi Shawkat - AL NAFFAKH, Hussein Ali Hussein - AL-JUBOORI, Sura Abdulmunem Mohammed - RADHI, Ahmed Dheyaa - TAWFEQ, Jamal Fadhil - JOSEPHNG, Poh Soon. Exploring the potential of offline cryptography techniques for securing ECG signals in healthcare. In Periodicals of Engineering and Natural Sciences, 2023-05-01, 11, 3, pp. 148-154. Dostupné na: https://doi.org/10.21533/pen.v11i3.3604.g1298, Registrované v: SCOPUS
[1.2] ADEBIYI, Marion O. - FATINIKUN-OLANIYAN, Deborah - OSANG, Francis - ADEBIYI, Abayomi A. Quantum Theory Approach to Performance Enhancement in Machine Learning. In 2023 International Conference on Science, Engineering and Business for Sustainable Development Goals, SEB-SDG 2023, 2023-01-01, pp. Dostupné na: https://doi.org/10.1109/SEB-SDG57117.2023.10124582, Registrované v: SCOPUS
[1.2] ADEDOJA, A. O. - OWOLAWI, P. A. - MAPAYI, T. - TU, Chunling. Intelligent Mobile Plant Disease Diagnostic System Using NASNet-Mobile Deep Learning. In IAENG International Journal of Computer Science. ISSN 1819656X, 2022-01-01, 49, 1, pp. 216-231., Registrované v: SCOPUS
[1.2] ADEDOJA, Adedamola O. - OWOLAWI, Pius A. - MAPAYI, Temitope - TU, Chunling. Progress on Deep Learning Models for Plant Disease Detection: A Survey. In icABCD 2021 4th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, Proceedings, 2021-08-05, pp. Dostupné na: https://doi.org/10.1109/icABCD51485.2021.9519323, Registrované v: SCOPUS
[1.2] AHMADI, Sadra - GHORBANLOO, Sanaz. Review and Prioritization of the Risks Affecting the Use of Organizational Big Data. In Iranian Journal of Information Processing and Management, 2022-06-01, 37, 4, pp. 1183-1216. ISSN 22518223. Dostupné na: https://doi.org/10.35050/JIPM010.2022.007, Registrované v: SCOPUS
[1.2] AHMADI, Sadra - GHORBANLOO, Sanaz. Review and Prioritization of the Risks Affecting the Use of Organizational Big Data. In Iranian Journal of Information Processing and Management, 2022-06-01, 37, 4, pp. 1183-1216. ISSN 22518223. Dostupné na: https://doi.org/10.35050/JIPM010.2022.007, Registrované v: SCOPUS
[1.2] AHMED, Rania Salih - AHMED, Elmustafa Sayed Ali - SAEED, Rashid A. Machine learning in cyber-physical systems in industry 4.0. In Artificial Intelligence Paradigms for Smart Cyber-Physical Systems, 2020-11-13, pp. 20-41. Dostupné na: https://doi.org/10.4018/978-1-7998-5101-1.ch002, Registrované v: SCOPUS
[1.2] AHMED, Usman - LIN, Jerry Chun Wei - SRIVASTAVA, Gautam - FOURNIER-VIGER, Philippe. A Transaction Classification Model of Federated Learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ISSN 03029743, 2021-01-01, 12798 LNAI, pp. 509-518., Registrované v: SCOPUS
[1.2] AHMED, Usman - LIN, Jerry Chun Wei - SRIVASTAVA, Gautam. Deep Hierarchical Attention Active Learning for Mental Disorder Unlabeled Data in AIoMT. In ACM Transactions on Sensor Networks, 2023-03-01, 19, 3, pp. ISSN 15504859. Dostupné na: https://doi.org/10.1145/3519304, Registrované v: SCOPUS
[1.2] AHMED, Usman - LIN, Jerry Chun Wei - SRIVASTAVA, Gautam. Hyper-Graph Attention Based Federated Learning Method For Mental Health Detection. In IEEE Journal of Biomedical and Health Informatics, 2022-01-01, pp. ISSN 21682194. Dostupné na: https://doi.org/10.1109/JBHI.2022.3172269, Registrované v: SCOPUS
[1.2] AJEL, Salwa - RIBEIRO, Francisco - EJBALI, Ridha - SARAIVA, João. Energy Efficiency of Python Machine Learning Frameworks. In Lecture Notes in Networks and Systems, 2023-01-01, 715 LNNS, pp. 586-595. ISSN 23673370. Dostupné na: https://doi.org/10.1007/978-3-031-35507-3_57, Registrované v: SCOPUS
[1.2] AJHARI, Abdul Azzam - NEGARA, I. Gede Putra Kusuma. Aircraft Flight Movement Anomaly Detection using Automatic Dependent Surveillance-Broadcast. In International Journal on Informatics Visualization, 2022-01-01, 6, 4, pp. 821-828. Dostupné na: https://doi.org/10.30630/joiv.6.4.948, Registrované v: SCOPUS
[1.2] ALHO, Riku - RAATIKAINEN, Mikko - NURMINEN, Jukka K. - MYLLYAHO, Lalli - LWAKATARE, Lucy Ellen. Systematic Mapping Study on Use of Pre-Trained Open Machine Learning Models. In CEUR Workshop Proceedings, 2023-01-01, 3506, pp. 36-47. ISSN 16130073., Registrované v: SCOPUS
[1.2] ALJANABI, Mohammad - HAYDER, Russul - TALIB, Shatha - ALI, Ahmed Hussein - MOHAMMED, Mostafa Abdulghafoor - SUTIKNO, Tole. Distributed denial of service attack defense system-based auto machine learning algorithm. In Bulletin of Electrical Engineering and Informatics, 2023-02-01, 12, 1, pp. 544-551. ISSN 20893191. Dostupné na: https://doi.org/10.11591/eei.v12i1.4537, Registrované v: SCOPUS
[1.2] ALODAT, Mohammad. Analyzing CT Scan Images Using Deep Transfer Learning for Patients with Covid-19 Disease. In Lecture Notes in Electrical Engineering. ISSN 18761100, 2022-01-01, 784 LNEE, pp. 71-78., Registrované v: SCOPUS
[1.2] ALODAT, Mohammad. Deep Transfer Learning and Intelligent Item Packing in Retail Management. In Lecture Notes in Electrical Engineering, 2023-01-01, 946, pp. 41-52. ISSN 18761100. Dostupné na: https://doi.org/10.1007/978-981-19-5868-7_4, Registrované v: SCOPUS
[1.2] ALSHAMARY, Haider Ali Jasim - ABDULLAH, Ahmad Sulaiman - HBEEB, Sadeq Adnan. Nearest-neighbor field algorithm based on patchMatch for myocardial perfusion motion estimation/correction. In Bulletin of Electrical Engineering and Informatics, 2023-04-01, 12, 2, pp. 843-850. ISSN 20893191. Dostupné na: https://doi.org/10.11591/eei.v12i2.4216, Registrované v: SCOPUS
[1.2] AMIRUDDIN, Brilian Putra - ISKANDAR, Eka - FATONI, Ali - SANTOSO, Ari. Deep Learning based System Identification of Quadcopter Unmanned Aerial Vehicle. In 2020 3rd International Conference on Information and Communications Technology, ICOIACT 2020, 2020-11-24, pp. 165-169., Registrované v: SCOPUS
[1.2] ANDONO, Pulung Nurtantio - SUPRIYANTO, Catur. Keypoints class distribution based entropy for weighting scheme on image classification. In Journal of King Saud University Computer and Information Sciences, 2022-11-01, 34, 10, pp. 9028-9038. ISSN 13191578. Dostupné na: https://doi.org/10.1016/j.jksuci.2022.08.027, Registrované v: SCOPUS
[1.2] ANH, Truong Tran Mai - VI, Tran Duc. Hybrid Genetic-Bees Algorithm in Multi-layer Perceptron Optimization. In Lecture Notes in Networks and Systems, 2023-01-01, 552, pp. 145-157. ISSN 23673370. Dostupné na: https://doi.org/10.1007/978-981-19-6634-7_11, Registrované v: SCOPUS
[1.2] ANISUZZAMAN, B. M. - SIDDIQUE, Ashfaquer Rahat - AL MAMUN, Tareq - JALAL JAMIL, Md Shah - HOSSAIN MUKTA, Md Saddam. Deep Learning in Mining Business Intelligence. In 2022 IEEE Region 10 Symposium, TENSYMP 2022, 2022-01-01, pp. Dostupné na: https://doi.org/10.1109/TENSYMP54529.2022.9864444, Registrované v: SCOPUS
[1.2] ANURADHA JAYAKODY, J. A.D.C. - KARUNANAYAKE, S. A.H.M. - EKANAYAKE, E. M.C.S. - DIKKUBURA, H. K.T.M. - BANDARA, L. A.I.M. 'iParking' Smart way to automate the management of the parking system for a smart city. In ICAC 2020 2nd International Conference on Advancements in Computing, Proceedings, 2020-12-10, pp. 49-54., Registrované v: SCOPUS
[1.2] AWE, O. Olawale - OLADEJI, Tolulope Adedoyin - ADEYEMO, Barnabas Timilehin - OLOWOOKERE, Oluwaseyifunmi Paul - AMINU, Folashade Folake - ABIONA, Oluwafemi Samson - AKINTOLA, Kunle Adediran - AYENI, Emmanuel Ola. Exploring Practical Applications and Python Code Snippets for Supervised Machine Learning Classification Algorithms. In STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics and Health, 2023-01-01, part F2078, pp. 213-246. ISSN 2520193X. Dostupné na: https://doi.org/10.1007/978-3-031-41352-0_12, Registrované v: SCOPUS
[1.2] AWOTUNDE, Joseph Bamdele - CHAKRABORTY, Chinmay - ABDULRAHEEM, Muyideen - JIMOH, Rasheed Gbenga - OLADIPO, Idowu Dauda - BHOI, Akash Kumar. Internet of medical things for enhanced smart healthcare systems. In Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain, 2022-01-01, pp. 1-28. Dostupné na: https://doi.org/10.1016/B978-0-323-91916-6.00009-6, Registrované v: SCOPUS
[1.2] AWUJOOLA, Olalekan J. - OGWUELEKA, Francisca N. - IRHEBHUDE, Martins E. - MISRA, Sanjay. Wrapper Based Approach for Network Intrusion Detection Model with Combination of Dual Filtering Technique of Resample and SMOTE. In Studies in Computational Intelligence. ISSN 1860949X, 2021-01-01, 972, pp. 139-167., Registrované v: SCOPUS
[1.2] AZEROUAL, Otmane - SCHÖPFEL, Joachim - PÖLÖNEN, Janne - NIKIFOROVA, Anastasija. Putting FAIR Principles in the Context of Research Information: FAIRness for CRIS and CRIS for FAIRness. In International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K Proceedings, 2022-01-01, 3, pp. 63-71., Registrované v: SCOPUS
[1.2] BHUIYAN, Md Roman - ABDULLAH, Junaidi - HASHIM, Noramiza - FARID, Fahmid Al - SAMSUDIN, Mohd Ali - ABDULLAH, Norra - UDDIN, Jia. Hajj pilgrimage video analytics using cnn. In Bulletin of Electrical Engineering and Informatics. ISSN 20893191, 2021-10-01, 10, 5, pp. 2598-2606. Dostupné na: https://doi.org/10.11591/eei.v10i5.2361, Registrované v: SCOPUS
[1.2] BLAKE, Scott. GENERATING GOOD DATA FOR AI-BASED AUTOMATIC INSPECTION AND REMEDIATION OF LARGE-SCALE COMPOSITE COMPONENTS. In International SAMPE Technical Conference, 2023-01-01, 2023-April, pp. Dostupné na: https://doi.org/10.33599/nasampe/s.23.0149, Registrované v: SCOPUS
[1.2] BOUBERTAKH, Oumeima - MAAMRI, Ramdane - SAHNOUN, Ali. An overview of machine and deep learning-based intrusion detection systems in the Internet of Things. In CEUR Workshop Proceedings, 2023-01-01, 3616, pp. 47-58. ISSN 16130073., Registrované v: SCOPUS
[1.2] BRACKMANN, Clemens - HÜTSCH, Marek - WULFERT, Tobias. Identifying Application Areas for Machine Learning in the Retail Sector: A Literature Review and Interview Study. In SN Computer Science, 2023-09-01, 4, 5, pp. ISSN 2662995X. Dostupné na: https://doi.org/10.1007/s42979-023-01888-w, Registrované v: SCOPUS
[1.2] CAO, Guoyuan - ZENG, Keming. Design of Digital Museum Narrative Space Based on Perceptual Experience Data Mining and Computer Vision. In Proceedings International Conference on Artificial Intelligence and Smart Systems, ICAIS 2021, 2021-03-25, pp. 444-448., Registrované v: SCOPUS
[1.2] CARDOSO SILVA, Lucas - REZENDE ZAGATTI, Fernando - SILVA SETTE, Bruno - NILDAIMON DOS SANTOS SILVA, Lucas - LUCREDIO, Daniel - FURTADO SILVA, Diego - DE MEDEIROS CASELI, Helena. Benchmarking Machine Learning Solutions in Production. In Proceedings 19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020, 2020-12-01, pp. 626-633., Registrované v: SCOPUS
[1.2] CARLSON, Caleb - WARUSHAVITHANA, Menuka - MITRA, Saptashwa - BARRAM, Kassidy - GHOSH, Sudipto - BREIDT, Jay - PALLICKARA, Sangmi Lee - PALLICKARA, Shrideep. Resource Efficient Profiling of Spatial Variability in Performance of Regression Models. In Proceedings 2022 IEEE International Conference on Big Data, Big Data 2022, 2022-01-01, pp. 437-444. Dostupné na: https://doi.org/10.1109/BigData55660.2022.10020602, Registrované v: SCOPUS
[1.2] CASTRILLO, María - GARCÍA, Álvaro López. Estimation of high frequency nutrient concentrations from water quality surrogates using machine learning methods. In Water Research, 2020-04-01, 172, pp. ISSN 00431354. Dostupné na: https://doi.org/10.1016/j.watres.2020.115490, Registrované v: SCOPUS
[1.2] CHANDRA, Abel - SHARMA, Alok - DEHZANGI, Iman - TSUNODA, Tatsuhiko - SATTAR, Abdul. PepCNN deep learning tool for predicting peptide binding residues in proteins using sequence, structural, and language model features. In Scientific Reports, 2023-12-01, 13, 1, pp. Dostupné na: https://doi.org/10.1038/s41598-023-47624-5, Registrované v: SCOPUS
[1.2] CHAUDHARY, Anmol - CHOUHAN, Kuldeep Singh - GAJRANI, Jyoti - SHARMA, Bhavna. Deep learning with PyTorch. In Machine Learning and Deep Learning in Real-Time Applications, 2020-04-24, pp. 61-95. Dostupné na: https://doi.org/10.4018/978-1-7998-3095-5.ch003, Registrované v: SCOPUS
[1.2] CHAUHAN, Prachi - MANDORIA, Hardwari Lal - NEGI, Alok - RAJPUT, R. S. Plant diseases concept in smart agriculture using deep learning. In Smart Agricultural Services Using Deep Learning, Big Data, and IoT, 2020-10-30, pp. 139-153. Dostupné na: https://doi.org/10.4018/978-1-7998-5003-8.ch008, Registrované v: SCOPUS
[1.2] CHIROMA, Haruna - ABAWJY, Jemal H. Computing Research Survival Manual: A practical handbook for beginners. In Computing Research Survival Manual: A Practical Handbook for Beginners, 2023-08-30, pp. 1-52. Dostupné na: https://doi.org/10.1088/978-0-7503-5017-4, Registrované v: SCOPUS
[1.2] CUNHA, Sara Las - DA COSTA, Renato Lopes - GONÇALVES, Rui - PEREIRA, Leandro - DIAS, Álvaro - DA SILVA, Rui Vinhas. Smart systems adoption in management. In International Journal of Business and Systems Research, 2023-01-01, 17, 6, pp. 703-727. ISSN 1751200X. Dostupné na: https://doi.org/10.1504/IJBSR.2023.134465, Registrované v: SCOPUS
[1.2] DA COSTA, Renato Lopes - FILIPA, Tânia - MARTINHO, Filipa - GONÇALVES, Rui - DIAS, Álvaro - PEREIRA, Leandro. The impact of intelligent systems on the compensation policies of companies of the future. In International Journal of Intelligent Enterprise, 2023-01-01, 10, 4, pp. 384-402. ISSN 17453232. Dostupné na: https://doi.org/10.1504/IJIE.2023.133821, Registrované v: SCOPUS
[1.2] DE BRUYN, Phillip Conrad. Evidence to Explain Violent Extremist Communication: A Systematic Review of Individual-Level Empirical Studies. In Perspectives on Terrorism, 2021-01-01, 15, 4, pp. 76-110., Registrované v: SCOPUS
[1.2] DHIBAR, Saikat - JANA, Biman. Accurate Prediction of Antifreeze Protein from Sequences through Natural Language Text Processing and Interpretable Machine Learning Approaches. In Journal of Physical Chemistry Letters, 2023-12-07, 14, 48, pp. 10727-10735. Dostupné na: https://doi.org/10.1021/acs.jpclett.3c02817, Registrované v: SCOPUS
[1.2] DI BERNARDO, Irene - GRECO, Fabio. Startups and Artificial Intelligence: Insights from Italy. In Impact of Artificial Intelligence in Business and Society: Opportunities and Challenges, 2023-01-01, pp. 134-152. Dostupné na: https://doi.org/10.4324/9781003304616-9, Registrované v: SCOPUS
[1.2] DIVYA, G. - KUMAR, Manoj D.S. - BHARATHI, Shri S.V. Multiple Object Detection on Surveillance Videos For Improving Accuracy Using Enhanced Faster R-CNN. In Journal of Machine and Computing, 2023-10-01, 3, 4, pp. 505-516. ISSN 27891801. Dostupné na: https://doi.org/10.53759/7669/jmc202303042, Registrované v: SCOPUS
[1.2] DMITRENKO, Andrei - MASIERO, Mauro M. - ZAMBONI, Nicola. Comparing representations of biological data learned with different AI paradigms, augmenting and cropping strategies. In Proceedings of Machine Learning Research, 2022-01-01, 172, pp. 353-369., Registrované v: SCOPUS
[1.2] DUDA, Sebastian - HOFMANN, Peter - URBACH, Nils - VÖLTER, Fabiane - ZWICKEL, Amelie. The Impact of Resource Allocation on the Machine Learning Lifecycle: Bridging the Gap between Software Engineering and Management. In Business and Information Systems Engineering, 2023-01-01, pp. ISSN 23637005. Dostupné na: https://doi.org/10.1007/s12599-023-00842-7, Registrované v: SCOPUS
[1.2] ECKARDT, Jan-Niklas - BORNHAEUSER, Martin - WENDT, Karsten - MIDDEKE, Jan Moritz. Application of machine learning in the management of acute myeloid leukemia: current practice and future prospects. In BLOOD ADVANCES. ISSN 2473-9529, 2020, vol. 4, no. 23, pp. 6077-6085., Registrované v: WOS
[1.2] EDE, Jeffrey M. Deep learning in electron microscopy. In Machine Learning: Science and Technology, 2021-03-01, 2, 1, pp. Dostupné na: https://doi.org/10.1088/2632-2153/abd614, Registrované v: SCOPUS
[1.2] ENGEL, Ekaterina A. Advances in the artificial intelligence models for photovoltaic systems. In Photovoltaic Systems: Advances in Research and Applications, 2023-11-03, pp. 1-61., Registrované v: SCOPUS
[1.2] ERDOGAN, Tugba Gurgen - ALTUNEL, Haluk - TARHAN, Ayca Kolukısa. Tools/frameworks that support development process of AI-based software: validations in white literature. In CEUR Workshop Proceedings, 2022-01-01, 3272, pp. ISSN 16130073., Registrované v: SCOPUS
[1.2] FACCIA, Alessio - CAVALIERE, Luigi Pio Leonardo - PETRATOS, Pythagoras - MOSTEANU, Narcisa Roxana. Unstructured Over Structured, Big Data Analytics and Applications In Accounting and Management. In ACM International Conference Proceeding Series, 2022-08-18, pp. 37-41. Dostupné na: https://doi.org/10.1145/3555962.3555969, Registrované v: SCOPUS
[1.2] FAYADH, Sabah Mohammed. Automatic Brain Cancer Recognition in CT-Scan Images. In 2022 Iraqi International Conference on Communication and Information Technologies, IICCIT 2022, 2022-01-01, pp. 76-81. Dostupné na: https://doi.org/10.1109/IICCIT55816.2022.10010528, Registrované v: SCOPUS
[1.2] GAO, Xiangmin - SHEN, Haoming - DUAN, Joan Huiqiong. A Study on ChatGPT to Alleviate the Difficulties in Writing Scientific Technology Papers. In 2023 International Conference on Cognitive Computing and Complex Data, ICCD 2023, 2023-01-01, pp. 118-122. Dostupné na: https://doi.org/10.1109/ICCD59681.2023.10420820, Registrované v: SCOPUS
[1.2] GLUSHKO, Robert J. Seven ways to make a data science project fail. In Data and Information Management, 2023-04-01, 7, 1, pp. Dostupné na: https://doi.org/10.1016/j.dim.2023.100029, Registrované v: SCOPUS
[1.2] GONG, Caoqi - HU, Die. A GAN-Based Channel Estimation Method for MIMO OFDM Systems. In Proceedings 2023 8th International Conference on Communication, Image and Signal Processing, CCISP 2023, 2023-01-01, pp. 410-415. Dostupné na: https://doi.org/10.1109/CCISP59915.2023.10355797, Registrované v: SCOPUS
[1.2] GUPTA, Sunil - SHARMA, Hitesh Kumar - KAPOOR, Monit. Blockchain for Secure Healthcare Using Internet of Medical Things (IoMT). In Blockchain for Secure Healthcare Using Internet of Medical Things (IoMT), 2022-01-01, pp. 1-197. Dostupné na: https://doi.org/10.1007/978-3-031-18896-1, Registrované v: SCOPUS
[1.2] HARJUHAHTO, Jaakko - DEBNER, Anton - HIRVISALO, Vesa. Processing lidAR data from a virtual logistics space. In OpenAccess Series in Informatics. ISSN 21906807, 2020-04-01, 80, pp., Registrované v: SCOPUS
[1.2] HARPER, Shannon B. - WEBER, Eric S. Fiduciary Responsibility: Facilitating Public Trust in Automated Decision Making. In Journal of Social Computing, 2022-12-01, 3, 4, pp. 345-362. Dostupné na: https://doi.org/10.23919/JSC.2022.0017, Registrované v: SCOPUS
[1.2] HIREMATH, Shivanand C. - MALLAPUR, Jayashree D. SOCIAL SKI DRIVER BASED EFFICIENT PARKING DYNAMICS AND COMPUTATION USING DEEP REINFORCEMENT LEARNING IN VEHICULAR CLOUD. In Journal of Theoretical and Applied Information Technology, 2022-08-15, 100, 15, pp. 4615-4627. ISSN 19928645., Registrované v: SCOPUS
[1.2] HIRIYANNAIAH, Srinidhi - G. M, Siddesh - AHMED, Mumtaz Irteqa - SAIVENU, Kolli - RAJ, Anant - SRINIVASA, K. G. - PATNAIK, L. M. Multi-modal Data-Driven Analytics for Health Care. In Studies in Big Data, 2021-01-01, 88, pp. 139-155. ISSN 21976503. Dostupné na: https://doi.org/10.1007/978-981-16-0415-7_7, Registrované v: SCOPUS
[1.2] HODSON, Timothy O. - DECICCO, Laura A. - HARIHARAN, Jayaram A. - STANISH, Lee F. - BLACK, Scott - HORSBURGH, Jeffery S. Reproducibility Starts at the Source: R, Python, and Julia Packages for Retrieving USGS Hydrologic Data. In Water (Switzerland), 2023-12-01, 15, 24, pp. Dostupné na: https://doi.org/10.3390/w15244236, Registrované v: SCOPUS
[1.2] HOODA, Rohit - JOSHI, Vedant - SHAH, Manan. A comprehensive review of approaches to detect fatigue using machine learning techniques. In Chronic Diseases and Translational Medicine, 2022-03-01, 8, 1, pp. 26-35. Dostupné na: https://doi.org/10.1016/j.cdtm.2021.07.002, Registrované v: SCOPUS
[1.2] HU, Han - HUANG, Yujin - CHEN, Qiuyuan - ZHUO, Terry Yue - CHEN, Chunyang. A First Look at On-device Models in iOS Apps. In ACM Transactions on Software Engineering and Methodology, 2023-11-23, 33, 1, pp. ISSN 1049331X. Dostupné na: https://doi.org/10.1145/3617177, Registrované v: SCOPUS
[1.2] JANRAO, Surekha - SHAH, Deven. Performance evaluation for identifying best feature selector and machine learning algorithm for optimizing crop recommendation system. In 2020 IEEE Congreso Bienal de Argentina, ARGENCON 2020 2020 IEEE Biennial Congress of Argentina, ARGENCON 2020, 2020-12-01, pp.
[1.2] JARALLAH, Saif K. - MAHMOOD, Sawsen A. Deep-learning models based video classification: Review. In AIP Conference Proceedings, 2023-12-04, 2834, 1, pp. ISSN 0094243X. Dostupné na: https://doi.org/10.1063/5.0161553, Registrované v: SCOPUS
[1.2] JHA, Anand - PAHAREEYA, Jankisharan - BHATELE, Kirtiraj - PATSARIYA, Sanjay. EDA and Predicting Customer’s Response for Cross-Sell Vehicle Insurance. In Lecture Notes in Electrical Engineering, 2023-01-01, 1079 LNEE, pp. 157-168. ISSN 18761100. Dostupné na: https://doi.org/10.1007/978-981-99-5997-6_14, Registrované v: SCOPUS
[1.2] JOSPHINELEELA, R. - KALIAPP, S. - NATRAYAN, L. - GARG, Ashish. Big Data Security through Privacy Preserving Data Mining (PPDM): A Decentralization Approach. In Proceedings of the 2023 2nd International Conference on Electronics and Renewable Systems, ICEARS 2023, 2023-01-01, pp. 718-721. Dostupné na: https://doi.org/10.1109/ICEARS56392.2023.10085646, Registrované v: SCOPUS
[1.2] KABUDI, Tumaini Mwendile. Artificial Intelligence for Quality Education: Successes and Challenges for AI in Meeting SDG4. In IFIP Advances in Information and Communication Technology, 2022-01-01, 657 IFIP, pp. 347-362. ISSN 18684238. Dostupné na: https://doi.org/10.1007/978-3-031-19429-0_21, Registrované v: SCOPUS
[1.2] KADHIM, Thair A. - ZGHAL, Nadia Smaoui - HARIRI, Walid - BEN AISSA, Dalenda. Face Recognition in Multiple Variations Using Deep Learning and Convolutional Neural Networks. In 2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications, SETIT 2022, 2022-01-01, pp. 305-311. Dostupné na: https://doi.org/10.1109/SETIT54465.2022.9875530, Registrované v: SCOPUS
[1.2] KANAGARAJ, K. - GEETHA, S. A Hybrid Framework for Effective Prediction of Online Streaming Data. In Journal of Physics: Conference Series. ISSN 17426588, 2021-02-19, 1767, 1, pp., Registrované v: SCOPUS
[1.2] KETOVA, K. V. - VAVILOVA, D. D. Modelling a human capital of an economic system with neural networks. In Journal of Physics: Conference Series. ISSN 17426588, 2020-12-23, 1703, 1, pp., Registrované v: SCOPUS
[1.2] KHULLAR, Vikas - TIWARI, Raj Gaurang - AGARWAL, Ambuj Kumar - ANGURALA, Mohit. Transferring Pre-trained Deep CNNs on Plantar Thermograms for Diabetic Foot Disease. In Lecture Notes in Networks and Systems, 2023-01-01, 588, pp. 97-10. ISSN 23673370. Dostupné na: https://doi.org/10.1007/978-981-19-7982-8_9, Registrované v: SCOPUS
[1.2] KIM, Younggwan - LEE, Jusuk - KIM, Ajung - HONG, Jiman. Load Balancing for Machine Learning Platform in Heterogeneous Distribute Computing Environment. In ACM International Conference Proceeding Series, 2020-10-13, pp. 267-270., Registrované v: SCOPUS
[1.2] KLAMPANOS, Iraklis - DAVVETAS, Athanasios - GEMUND, Andre - ATKINSON, Malcolm - KOUKOURIKOS, Antonis - FILGUEIRA, Rosa - KRAUSE, Amrey - SPINUSO, Alessandro - CHARALAMBIDIS, Angelos - MAGNONI, Federica - CASAROTTI, Emanuele - PAGE, Christian - LINDNER, Mike - IKONOMOPOULOS, Andreas - KARKALETSIS, Vangelis. DARE: A reflective platform designed to enable agile data-driven research on the cloud. In Proceedings IEEE 15th International Conference on eScience, eScience 2019, 2019-09-01, pp. 578-585., Registrované v: SCOPUS
[1.2] KNEŽIĆ BUHOVAC, Selena - ŠERIĆ, Ljiljana - IVANDA, Antonia - KRSTINIĆ, Damir. Web Scraping Fire Incidents and Assessment of Fire Impact A Case Study of Split and Dalmatia County Fires. In Communications in Computer and Information Science, 2023-01-01, 1827 CCIS, pp. 63-76. ISSN 18650929. Dostupné na: https://doi.org/10.1007/978-3-031-36833-2_5, Registrované v: SCOPUS
[1.2] KOLLURI, Johnson - DAS, Ranjita. An Evaluation of Deep Learning-Based Object Identification. In International Journal on Recent and Innovation Trends in Computing and Communication, 2022-11-01, 10, 1, pp. 52-80. Dostupné na: https://doi.org/10.17762/ijritcc.v10i1s.5795, Registrované v: SCOPUS
[1.2] KOSE, Utku - DEPERLIOGLU, Omer - ALZUBI, Jafar - PATRUT, Bogdan. Artificial intelligence and decision support systems. In Studies in Computational Intelligence. ISSN 1860949X, 2021-01-01, 909, pp. 1-14., Registrované v: SCOPUS
[1.2] KOTIYAL, Bina - PATHAK, Heman. Big Data Preprocessing Phase in Engendering Quality Data. In Lecture Notes in Electrical Engineering. ISSN 18761100, 2022-01-01, 768, pp. 65-74., Registrované v: SCOPUS
[1.2] KUMAR, C. Ramesh. Higher Level Abstraction of Deep Architecture. In Prediction and Analysis for Knowledge Representation and Machine Learning, 2022-01-01, pp. 143-161. Dostupné na: https://doi.org/10.1201/9781003126898-7, Registrované v: SCOPUS
[1.2] KUMAR, Ch Hemanth - RAVI KISHAN, S. - KHAYIM AHMED, A. Development of Decision Support System on Online Payment Failures using Ensemble Learning. In International Conference on Sustainable Computing and Smart Systems, ICSCSS 2023 Proceedings, 2023-01-01, pp. 266-272. Dostupné na: https://doi.org/10.1109/ICSCSS57650.2023.10169602, Registrované v: SCOPUS
[1.2] KUMARI, Alka - SHAH, Harshal. Design and Implementation of IoT-ML Based Data Management for Sustained System Integrity. In Proceedings of 5th International Conference on Contemporary Computing and Informatics, IC3I 2022, 2022-01-01, pp. 762-767. Dostupné na: https://doi.org/10.1109/IC3I56241.2022.10072889, Registrované v: SCOPUS
[1.2] LAMBA, Manika - MADHUSUDHAN, Margam. Text Mining for Information Professionals: An Uncharted Territory. In Text Mining for Information Professionals: An Uncharted Territory, 2022-01-01, pp. 1-356. Dostupné na: https://doi.org/10.1007/978-3-030-85085-2, Registrované v: SCOPUS
[1.2] LAZAROVA, Milena - NAKOV, Ognyan - MIHAYLOVA, Elizabet. Deep Learning Platforms for High-Performance and Distributed Computing Object Detection. In 3rd International Conference on High Technology for Sustainable Development, HiTech 2020 Proceedings, 2020-10-08, pp., Registrované v: SCOPUS
[1.2] LAZZERI, Francesca. Machine learning for time series forecasting with python. In Machine Learning for Time Series Forecasting with Python, 2020-01-01, pp. 1-206. Dostupné na: https://doi.org/10.1002/9781119682394, Registrované v: SCOPUS
[1.2] LENZ, Oliver Urs - PERALTA, Daniel - CORNELIS, Chris. fuzzy-rough-learn 0.1: A Python Library for Machine Learning with Fuzzy Rough Sets. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ISSN 03029743, 2020-01-01, 12179 LNAI, pp. 491-499., Registrované v: SCOPUS
[1.2] LI, Shaobo - YANG, Lei - LI, Chuanjiang - ZHANG, Ansi - LUO, Ruishi. Overview of federated learning: Technology, applications and future. In Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2022-07-31, 28, 7, pp. 2119-2138. ISSN 10065911. Dostupné na: https://doi.org/10.13196/j.cims.2022.07.018, Registrované v: SCOPUS
[1.2] LI, Wenwu - SHI, Qiang - WANG, Kai - CHENG, Xiong. Runoff prediction based on variational mode decomposition and deep gated network. In Shuili Fadian Xuebao/Journal of Hydroelectric Engineering. ISSN 10031243, 2020-03-25, 39, 3, pp. 34-44., Registrované v: SCOPUS
[1.2] LI, Zhuolun. Prediction of Steering Wheel Angle at Night based on CNN. In Proceedings of SPIE The International Society for Optical Engineering, 2023-01-01, 12612, pp. ISSN 0277786X. Dostupné na: https://doi.org/10.1117/12.2673094, Registrované v: SCOPUS
[1.2] LV, Zhihan - CHENG, Chen - LV, Haibin. Blockchain-Based Decentralized Learning for Security in Digital Twins. In IEEE Internet of Things Journal, 2023-12-15, 10, 24, pp. 21479-21488. Dostupné na: https://doi.org/10.1109/JIOT.2023.3295499, Registrované v: SCOPUS
[1.2] MAHRISHI, Mehul - HIRAN, Kamal Kant - MEENA, Gaurav - SHARMA, Paawan. Machine learning and deep learning in real-time applications. In Machine Learning and Deep Learning in Real-Time Applications, 2020-04-24, pp. 1-344. Dostupné na: https://doi.org/10.4018/978-1-7998-3095-5, Registrované v: SCOPUS
[1.2] MAIER-HEIN, Lena - EISENMANN, Matthias - SARIKAYA, Duygu - MÄRZ, Keno - COLLINS, Toby - MALPANI, Anand - FALLERT, Johannes - FEUSSNER, Hubertus - GIANNAROU, Stamatia - MASCAGNI, Pietro - NAKAWALA, Hirenkumar - PARK, Adrian - PUGH, Carla - STOYANOV, Danail - VEDULA, Swaroop S. - CLEARY, Kevin - FICHTINGER, Gabor - FORESTIER, Germain - GIBAUD, Bernard - GRANTCHAROV, Teodor - HASHIZUME, Makoto - HECKMANN-NÖTZEL, Doreen - KENNGOTT, Hannes G. - KIKINIS, Ron - MÜNDERMANN, Lars - NAVAB, Nassir - ONOGUR, Sinan - ROß, Tobias - SZNITMAN, Raphael - TAYLOR, Russell H. - TIZABI, Minu D. - WAGNER, Martin - HAGER, Gregory D. - NEUMUTH, Thomas - PADOY, Nicolas - COLLINS, Justin - GOCKEL, Ines - GOEDEKE, Jan - HASHIMOTO, Daniel A. - JOYEUX, Luc - LAM, Kyle - LEFF, Daniel R. - MADANI, Amin - MARCUS, Hani J. - MEIRELES, Ozanan - SEITEL, Alexander - TEBER, Dogu - ÜCKERT, Frank - MÜLLER-STICH, Beat P. - JANNIN, Pierre - SPEIDEL, Stefanie. Surgical data science – from concepts toward clinical translation. In Medical Image Analysis, 2022-02-01, 76, pp. ISSN 13618415. Dostupné na: https://doi.org/10.1016/j.media.2021.102306, Registrované v: SCOPUS
[1.2] MAKORI, Elisha Ondieki - BITSO, Connie. Information profession in digital transformation and development: Future directions. In Handbook of Research on Knowledge and Organization Systems in Library and Information Science, 2021-06-25, pp. 1-24. Dostupné na: https://doi.org/10.4018/978-1-7998-7258-0.ch001, Registrované v: SCOPUS
[1.2] MAO, Zhengxiong - YANG, Chuanxu - CHANG, Rong - BAO, Fu - TIAN, Yuan - ZHANG, Hang. A federated learning-based method for class imbalanced power big data fusion. In 2022 2nd International Conference on Electrical Engineering and Control Science, IC2ECS 2022, 2022-01-01, pp. 1177-1180. Dostupné na: https://doi.org/10.1109/IC2ECS57645.2022.10088118, Registrované v: SCOPUS
[1.2] MARDIKORAEM, Mehrsa - WOLDRING, Daniel. Machine Learning-driven Protein Library Design: A Path Toward Smarter Libraries. In Methods in Molecular Biology, 2022-01-01, 2491, pp. 87-104. ISSN 10643745. Dostupné na: https://doi.org/10.1007/978-1-0716-2285-8_5, Registrované v: SCOPUS
[1.2] MAYET, Abdulilah Mohammad - SHUKLA, Neeraj Kumar - RAJA, M. Ramkumar - AHMAD, Ijaz - AIESH QAISI, Ramy Mohammed - AL-QAHTANI, Ali Awadh - TAPARWAL, Anita - TIRTH, Vineet - AL-DOSSARY, Reem. Experimental Analysis to Detect Corona COVID-19 Virus Symptoms in Male Patients through Breath Pattern Using Machine Learning Algorithms. In Electronics (Switzerland), 2023-01-01, 12, 1, pp. Dostupné na: https://doi.org/10.3390/electronics12010010, Registrované v: SCOPUS
[1.2] MBILONG, Paul Menounga - BERHICH, Asmae - JEBLI, Imane - KASSIRI, Asmae El - BELOUADHA, Fatima Zahra. Artificial intelligence-enabled and period-aware forecasting COVID-19 spread. In Ingenierie des Systemes d'Information. ISSN 16331311, 2021-02-01, 26, 1, pp. 47-57., Registrované v: SCOPUS
[1.2] MEREMBAYEV, Timur - AMANBEK, Yerlan. Natural Fracture Network Model Using Machine Learning Approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2023-01-01, 14107 LNCS, pp. 384-397. ISSN 03029743. Dostupné na: https://doi.org/10.1007/978-3-031-37114-1_26, Registrované v: SCOPUS
[1.2] MOREIRA, Miguel Ângelo Lellis - DE SOUZA ROCHA JUNIOR, Claudio - SILVA, Diogo Ferreira De Lima - DE CASTRO JUNIOR, Marcos Alexandre Pinto - DE ARAÚJO COSTA, Igor Pinheiro - GOMES, Carlos Francisco Simões - DOS SANTOS, Marcos. Exploratory analysis and implementation of machine learning techniques for predictive assessment of fraud in banking systems. In Procedia Computer Science, 2022-01-01, 214, c, pp. 117-124. Dostupné na: https://doi.org/10.1016/j.procs.2022.11.156, Registrované v: SCOPUS
[1.2] MUKHAMEDIEV, Ravil I. - ASSANOV, Ilyas - YELIS, Marina - SYMAGULOV, Adilkhan - KUCHIN, Yan - YAKUNIN, Kirill - MARGULAN, Aubakirov - TABYNBAYEVA, Laila - SEDLACEK, Peter. Rapid bibliometric analysis in deep learning domain. In International Conference on Information and Digital Technologies 2021, IDT 2021, 2021-06-22, pp. 206-211., Registrované v: SCOPUS
[1.2] MUSA, Nehemiah - GITAL, Abdulsalam Ya’u - ALJOJO, Nahla - CHIROMA, Haruna - ADEWOLE, Kayode S. - MOJEED, Hammed A. - FARUK, Nasir - ABDULKARIM, Abubakar - EMMANUEL, Ifada - FOLAWIYO, Yusuf Y. - OGUNMODEDE, James A. - OLOYEDE, Abdukareem A. - OLAWOYIN, Lukman A. - SIKIRU, Ismaeel A. - KATB, Ibrahim. A systematic review and Meta-data analysis on the applications of Deep Learning in Electrocardiogram. In Journal of Ambient Intelligence and Humanized Computing, 2023-07-01, 14, 7, pp. 9677-9750. ISSN 18685137. Dostupné na: https://doi.org/10.1007/s12652-022-03868-z, Registrované v: SCOPUS
[1.2] NAGALAKSHMI, P. S.S. - SHRISHTI, N. - SOUMYA, P. - CHANDI PRIYA, G. - SREE VISHNUPRIYA, D. Application program interface on artificial neural network in QGIS using python. In International Journal on Emerging Technologies, 2020-01-01, 11, 3, pp. 539-543. ISSN 09758364., Registrované v: SCOPUS
[1.2] NAZMI, Nurul Amera Muhamad - RIZHAN, Wan - RAHIM, Normala. Developing and Evaluating AR for Food Ordering System based on Technological Acceptance Evaluation Approach: A Case Study of Restaurant's Menu Item Selection. In International Journal of Engineering Trends and Technology, 2022-05-01, 70, 5, pp. 24-29. ISSN 23490918. Dostupné na: https://doi.org/10.14445/22315381/IJETT-V70I5P204, Registrované v: SCOPUS
[1.2] NEUENDORFFER, Stephen - KHODAMORADI, Alireza Khodamoradi - DENOLF, Kristof - JAIN, Abhishek Kumar - BAYLISS, Samuel. The Evolution of Domain-Specific Computing for Deep Learning. In IEEE Circuits and Systems Magazine. ISSN 1531636X, 2021-04-01, 21, 2, pp. 75-96., Registrované v: SCOPUS
[1.2] NWAOGU, Victor Chimankpam - DIMILILER, Kamil. Customer Churn Prediction for Business Intelligence Using Machine Learning. In HORA 2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedings, 2021-06-11, pp. Dostupné na: https://doi.org/10.1109/HORA52670.2021.9461303, Registrované v: SCOPUS
[1.2] ODEH, Ammar - AL-HAIJA, Qasem Abu - AREF, Abdullah - TALEB, Anas Abu. Comparative Study of CatBoost, XGBoost, and LightGBM for Enhanced URL Phishing Detection: A Performance Assessment. In Journal of Internet Services and Information Security, 2023-11-01, 13, 4, pp. 1-11. ISSN 21822069. Dostupné na: https://doi.org/10.58346/JISIS.2023.I4.001, Registrované v: SCOPUS
[1.2] OLADIPO, Idowu Dauda - ABDULRAHEEM, Muyideen - AWOTUNDE, Joseph Bamidele - BHOI, Akash Kumar - ADENIYI, Emmanuel Abidemi - ABIODUN, Moses Kazeem. Machine Learning and Deep Learning Algorithms for Smart Cities: A Start-of-the-Art Review. In EAI/Springer Innovations in Communication and Computing. ISSN 25228595, 2022-01-01, pp. 143-162. Dostupné na: https://doi.org/10.1007/978-3-030-82715-1_7, Registrované v: SCOPUS
[1.2] OĞUZ, Abdulhalık - ERTUĞRUL, Ömer Faruk. Introduction to deep learning and diagnosis in medicine. In Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods, 2023-01-01, pp. 1-40. Dostupné na: https://doi.org/10.1016/B978-0-323-96129-5.00003-2, Registrované v: SCOPUS
[1.2] PAGANELLI, Matteo - DEL BUONO, Francesco - GUERRA, Francesco - PEVARELLO, Marco - VINCINI, Maurizio. Automated machine learning for entity matching tasks. In Advances in Database Technology EDBT, 2021-01-01, 2021-March, pp. 325-330. Dostupné na: https://doi.org/10.5441/002/edbt.2021.29, Registrované v: SCOPUS
[1.2] PARIDA, Satyajeet - TRIPATHI, Abhishek Kumar - PAUL, Subha Ranjan - AHMED, Zeeshan. Prediction of Blast Induced Ground Vibration by Artificial Neural Network. In AIP Conference Proceedings, 2022-11-29, 2615, pp. ISSN 0094243X. Dostupné na: https://doi.org/10.1063/5.0116470, Registrované v: SCOPUS
[1.2] PARVATHI, M. SRAM memory testing methods and analysis: An approach for traditional test algorithms to ML models. In Machine Learning Algorithms Using Scikit and TensorFlow Environments, 2023-12-18, pp. 295-317. Dostupné na: https://doi.org/10.4018/978-1-6684-8531-6.ch015, Registrované v: SCOPUS
[1.2] PAZHANIRAJA, N. - SOUNTHARRAJAN, S. - SUGANYA, E. - KARTHIGA, M. Top ‘N’ Variant Random Forest Model for High Utility Itemsets Recommendation. In EAI Endorsed Transactions on Energy Web. ISSN 16155548, 2021-01-01, 8, 35, pp. 1-7. Dostupné na: https://doi.org/10.4108/eai.25-1-2021.168225, Registrované v: SCOPUS
[1.2] PRAKASH, Aishwarya - CHAUHAN, Shweta. A Comprehensive Survey of Trending Tools and Techniques in Deep Learning. In 2023 International Conference on Disruptive Technologies, ICDT 2023, 2023-01-01, pp. 289-292. Dostupné na: https://doi.org/10.1109/ICDT57929.2023.10151083, Registrované v: SCOPUS
[1.2] RAJASHEKAR, Deva - SOWMYA, Jujuroo. Trends and Paradigms in Machine Learning – A Review. In 14th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2023, 2023-01-01, 2023-June, pp. 1641-1650., Registrované v: SCOPUS
[1.2] RAJENDRAN, Revathi - KALIDASAN, Arthi - RAJAN, Chidhambara B. Convergence of AI, ML, and DL for enabling smart intelligence: Artificial intelligence, machine learning, deep learning, internet of things. In Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing, 2021-01-29, pp. 180-195. Dostupné na: https://doi.org/10.4018/978-1-7998-3111-2.ch011, Registrované v: SCOPUS
[1.2] RAMYA, R. - ANANDH, A. - MUTHULAKSHMI, K. - VENKATESH, S. Gender recognition from facial images using multichannel deep learning framework. In Machine Learning for Biometrics: Concepts, Algorithms and Applications, 2022-01-01, pp. 105-128. Dostupné na: https://doi.org/10.1016/B978-0-323-85209-8.00009-2, Registrované v: SCOPUS
[1.2] REIMANN, Lars - KNIESEL-WÜNSCHE, Günter. Achieving guidance in applied machine learning through software engineering techniques. In ACM International Conference Proceeding Series, 2020-03-23, pp. 7-12., Registrované v: SCOPUS
[1.2] REN, Zhixiang - LIU, Yongheng - SHI, Tianhui - XIE, Lei - ZHOU, Yue - ZHAI, Jidong - ZHANG, Youhui - ZHANG, Yunquan - CHEN, Wenguang. AIPerf: Automated machine learning as an AI-HPC benchmark. In Big Data Mining and Analytics. ISSN 20960654, 2021-09-01, 4, 3, pp. 208-220., Registrované v: SCOPUS
[1.2] RENNER, Henrik - SCHÖLER, Hans R. - BRUDER, Jan M. Combining Automated Organoid Workflows with Artificial Intelligence-Based Analyses: Opportunities to Build a New Generation of Interdisciplinary High-Throughput Screens for Parkinson's Disease and Beyond. In Movement Disorders, 2021-12-01, 36, 12, pp. 2745-2762. ISSN 08853185. Dostupné na: https://doi.org/10.1002/mds.28775, Registrované v: SCOPUS
[1.2] ROOBINI, M. S. - LAKSHMI, M. Diagnosis of Alzheimer disease using classification algorithms. In Proceedings of the 3rd International Conference on Intelligent Sustainable Systems, ICISS 2020, 2020-12-03, pp. 725-734., Registrované v: SCOPUS
[1.2] ROOBINI, M. S. - SOWMIYA, M. - JANCY, S. - HELEN, L. Suji. Applications of machine learning techniques in disease detection. In Medical Imaging and Health Informatics, 2022-05-29, pp. 23-45. Dostupné na: https://doi.org/10.1002/9781119819165.ch2, Registrované v: SCOPUS
[1.2] SACHDEVA, Garima - VERMA, Rishabh - CHAHAL, Deepak - KHARB, Latika. Implementing IoT and data analytics to overcome "vehicles danger". In International Journal of Innovative Technology and Exploring Engineering, 2019-09-01, 8, 11, pp. 4298-4304., Registrované v: SCOPUS
[1.2] SAKHNYUK, P. A. - SAKHNYUK, T. I. - KORSHIKOVA, M. V. The use of intelligent technologies of Business Intelligence Platforms and Data Science and Machine Learning Platforms for monitoring the socio-economic indicators of the administrative districts of Moscow. In IOP Conference Series: Materials Science and Engineering. ISSN 17578981, 2020-07-07, 873, 1, pp., Registrované v: SCOPUS
[1.2] SAKHNYUK, P. A. - SAKHNYUK, T. I. Intellectual Technologies in Digital Transformation. In IOP Conference Series: Materials Science and Engineering. ISSN 17578981, 2020-07-07, 873, 1, pp., Registrované v: SCOPUS
[1.2] SALINAS-GUERRA, Rocío - MEJÍA-DIOS, Jesús Adolfo - MEZURA-MONTES, Efrén - MÁRQUEZ-GRAJALES, Aldo. An Evolutionary Bilevel Optimization Approach for Neuroevolution. In Studies in Computational Intelligence, 2023-01-01, 1096, pp. 395-423. ISSN 1860949X. Dostupné na: https://doi.org/10.1007/978-3-031-28999-6_25, Registrované v: SCOPUS
[1.2] SALMAN, Ahmad Rifhan - ISMAIL, Mohd Muzafar - RAZAK, Jeefferie Abd - RASHID, Siti Rosmaniza Ab. Design of UTeM logo-shape wearable antenna for communication application by graphene silver nanocomposites. In Telkomnika (Telecommunication Computing Electronics and Control), 2022-01-01, 20, 3, pp. 647-655. ISSN 16936930. Dostupné na: https://doi.org/10.12928/TELKOMNIKA.v20i3.21780, Registrované v: SCOPUS
[1.2] SANDOVAL, Jenner Lavalle - ANDRADE-ARENAS, Laberiano - HERNANDEZ CELIS, Domingo - CABANILLAS-CARBONELL, Michael. Enterprise information security risks: a systematic review of the literature. In Indonesian Journal of Electrical Engineering and Computer Science, 2023-09-01, 31, 3, pp. 1589-1604. ISSN 25024752. Dostupné na: https://doi.org/10.11591/ijeecs.v31.i3.pp1589-1604, Registrované v: SCOPUS
[1.2] SANGWAN, Raghvinder S. - BADR, Youakim - SRINIVASAN, Satish M. Cybersecurity for AI Systems: A Survey. In Journal of Cybersecurity and Privacy, 2023-06-01, 3, 2, pp. 166-190. Dostupné na: https://doi.org/10.3390/jcp3020010, Registrované v: SCOPUS
[1.2] SARAKON, Sujittra - TAMEE, Kreangsak. PERFORMANCE ENHANCEMENT OF MULTIPLE SOURCES FOR ACTIVITY RECOGNITION USING DEEP NEURAL NETWORK RETRAINING. In ICIC Express Letters, Part B: Applications, 2023-06-01, 14, 6, pp. 579-586. ISSN 21852766. Dostupné na: https://doi.org/10.24507/icicelb.14.06.579, Registrované v: SCOPUS
[1.2] SARMAH, Dipti Kapoor - KULKARNI, Anand J. - ABRAHAM, Ajith. Introduction. In Intelligent Systems Reference Library. ISSN 18684394, 2020-01-01, 187, pp. 1-32., Registrované v: SCOPUS
[1.2] SCHEINERT, Dominik - WIESNER, Philipp - WITTKOPP, Thorsten - THAMSEN, Lauritz - WILL, Jonathan - KAO, Odej. Karasu: A Collaborative Approach to Efficient Cluster Configuration for Big Data Analytics. In Conference Proceedings of the IEEE International Performance, Computing, and Communications Conference, 2023-01-01, pp. 403-412. ISSN 10972641. Dostupné na: https://doi.org/10.1109/IPCCC59175.2023.10253884, Registrované v: SCOPUS
[1.2] SCHNEIDER, Patrick - XHAFA, Fatos. Anomaly Detection and Complex Event Processing Over IoT Data Streams: With Application to eHealth and Patient Data Monitoring. In Anomaly Detection and Complex Event Processing Over IoT Data Streams: With Application to eHealth and Patient Data Monitoring, 2022-01-19, pp. 1-381. Dostupné na: https://doi.org/10.1016/B978-0-12-823818-9.00002-X, Registrované v: SCOPUS
[1.2] SEJUTI, Zarin Anjuman - ISLAM, Md Saiful. A hybrid CNN–KNN approach for identification of COVID-19 with 5-fold cross validation. In Sensors International, 2023-01-01, 4, pp. Dostupné na: https://doi.org/10.1016/j.sintl.2023.100229, Registrované v: SCOPUS
[1.2] SEKHAR, C. H. - MEENAKSHI - MOUSA, Saeed - SHARMA, M. K. - GOBINATH, V. M. - DHARAMVIR. A Comprehensive Analysis of Internet of Things (IOT) Sustained Integrity System Services with Data Management Based ON Machine Learning. In 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022, 2022-01-01, pp. 2636-2639. Dostupné na: https://doi.org/10.1109/ICACITE53722.2022.9823431, Registrované v: SCOPUS
[1.2] SEMWAL, Prabhakar - SAINI, Rashmi. Deep-learning models for Covid-19 Detection Using Chest X-Ray Images. In 2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development, OTCON 2022, 2023-01-01, pp. Dostupné na: https://doi.org/10.1109/OTCON56053.2023.10113965, Registrované v: SCOPUS
[1.2] SHAHRIAR, Hossain - SNEHA, Sweta - WHITLEY, Patricia. Approaches and challenges to secure health data. In International Journal of Medical Engineering and Informatics, 2022-01-01, 14, 3, pp. 213-228. ISSN 17550653. Dostupné na: https://doi.org/10.1504/IJMEI.2022.122281, Registrované v: SCOPUS
[1.2] SHARMA, Hitesh Kumar - CHOUDHURY, Tanupriya - MOHANTY, Sachi Nandan - SWAGATIKA, Shrabanee - SWAIN, Satabdi. Deep Learning based approach for Photographs and Painting Classification using CNN Model. In CEUR Workshop Proceedings, 2021-01-01, 3283, pp. 220-226. ISSN 16130073., Registrované v: SCOPUS
[1.2] SHI, Yechuan - KIENZLE, Jörg - GUO, Jin L.C. Feature-oriented modularization of deep learning APIs. In Proceedings ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems, MODELS 2022: Companion Proceedings, 2022-10-23, pp. 367-374. Dostupné na: https://doi.org/10.1145/3550356.3561575, Registrované v: SCOPUS
[1.2] SHIN, Jiho - WEI, Moshi - WANG, Junjie - SHI, Lin - WANG, Song. The Good, the Bad, and the Missing: Neural Code Generation for Machine Learning Tasks. In ACM Transactions on Software Engineering and Methodology, 2023-12-22, 33, 2, pp. ISSN 1049331X. Dostupné na: https://doi.org/10.1145/3630009, Registrované v: SCOPUS
[1.2] SINGH, Nehul - CHOUHAN, Satyendra Singh - VERMA, Karan. Object Oriented Programming: Concepts, Limitations and Application Trends. In 2021 5th International Conference on Information Systems and Computer Networks, ISCON 2021, 2021-01-01, pp. Dostupné na: https://doi.org/10.1109/ISCON52037.2021.9702463, Registrované v: SCOPUS
[1.2] SISWANTO, Apri - EFENDI, Akmar - KADIR, Evizal Abdul. Biometric face authentication system for secure smart office environments. In Indonesian Journal of Electrical Engineering and Computer Science, 2023-11-01, 32, 2, pp. 1134-1141. ISSN 25024752. Dostupné na: https://doi.org/10.11591/ijeecs.v32.i2.pp1134-1141, Registrované v: SCOPUS
[1.2] SOENY, Kabir - PANDEY, Gaurav - GUPTA, Utkarsh - TRIVEDI, Adarsh - GUPTA, Mehul - AGARWAL, Gaurav. Attended robotic process automation of prescriptions’ digitization. In Smart Health, 2021-04-01, 20, pp., Registrované v: SCOPUS
[1.2] SREEKANTHA, Desai Karanam - KULKARNI, R. V. Heterogenous Applications of Deep Learning Techniques in Diverse Domains: A Review. In EAI/Springer Innovations in Communication and Computing. ISSN 25228595, 2021-01-01, pp. 183-203., Registrované v: SCOPUS
[1.2] SUBASI, Abdulhamit - QURESHI, Saqib Ahmed - BRAHIMI, Tayeb - SERIRETI, Akila. COVID-19 detection from X-ray images using artificial intelligence. In Artificial Intelligence and Big Data Analytics for Smart Healthcare, 2021-01-01, pp. 209-224. Dostupné na: https://doi.org/10.1016/B978-0-12-822060-3.00013-9, Registrované v: SCOPUS
[1.2] SUKARDI, Sahrul - SUSANTY, Meredita - IRAWAN, Ade - PUTRA, Randi Fermana. Low Complexity Named-Entity Recognition for Indonesian Language using BiLSTM-CNNs. In 2020 3rd International Conference on Information and Communications Technology, ICOIACT 2020, 2020-11-24, pp. 137-142., Registrované v: SCOPUS
[1.2] SUPRIYANTO, Catur - NUGROHO, Hanung Adi - ADJI, Teguh Bharata. Distance matrix based keypoint selection for bag-of-visual words model on image classification. In International Journal of Intelligent Engineering and Systems. ISSN 2185310X, 2020-01-01, 13, 3, pp. 201-211., Registrované v: SCOPUS
[1.2] SUSHMA, S. J. - ASSEGIE, Tsehay Admassu - VINUTHA, D. C. - PADMASHREE, S. An improved feature selection approach for chronic heart disease detection. In Bulletin of Electrical Engineering and Informatics. ISSN 20893191, 2021-12-01, 10, 6, pp. 3501-3506. Dostupné na: https://doi.org/10.11591/eei.v10i6.3001, Registrované v: SCOPUS
[1.2] TANG, Weiye - LI, Daren - FAN, Wuyue - LIU, Tianhao - CHEN, Man - DIB, Omar. An Intrusion Detection System Empowered by Deep Learning Algorithms. In 2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023, 2023-01-01, pp. 1137-1142. Dostupné na: https://doi.org/10.1109/DASC/PiCom/CBDCom/Cy59711.2023.10361315, Registrované v: SCOPUS
[1.2] TAO, Shuai - ZHANG, Jun Bo - HAN, Xi Bing - YU, Jian Qiang - XI, Ling Zhi - LI, Shu Yi. Prediction analysis of vertical displacement of pipe jacking crossing existing subway tunnel based on LSTM algorithm. In Proceedings of SPIE The International Society for Optical Engineering, 2023-01-01, 12756, pp. ISSN 0277786X. Dostupné na: https://doi.org/10.1117/12.2686338, Registrované v: SCOPUS
[1.2] TEIXEIRA, Rafael - ANTUNES, Mario - GOMES, Diogo - AGUIAR, Rui L. The learning costs of Federated Learning in constrained scenarios. In Proceedings 2023 International Conference on Future Internet of Things and Cloud, FiCloud 2023, 2023-01-01, pp. 18-25. Dostupné na: https://doi.org/10.1109/FiCloud58648.2023.00011, Registrované v: SCOPUS
[1.2] THODE, Steven - PALACIO, Gil - PATEL, Dhvani. R vs Python in Machine Learning and Deep Learning: Student Survey. In Proceedings of the Information Systems Education Conference, ISECON, 2023-01-01, 2023-March, pp. ISSN 21671435., Registrované v: SCOPUS
[1.2] TSAGKIS, Pavlos - BAKOGIANNIS, Efthimios - NIKITAS, Alexandros. Analysing urban growth using machine learning and open data: An artificial neural network modelled case study of five Greek cities. In Sustainable Cities and Society, 2023-02-01, 89, pp. ISSN 22106707. Dostupné na: https://doi.org/10.1016/j.scs.2022.104337, Registrované v: SCOPUS
[1.2] VITHLANI, Sunil K. - DABHI, Vipul K. Machine Learning and Deep Learning in Crop Management—A Review. In Studies in Big Data, 2023-01-01, 121, pp. 35-59. ISSN 21976503. Dostupné na: https://doi.org/10.1007/978-981-99-0577-5_2, Registrované v: SCOPUS
[1.2] WANG, Bo - MA, Sheng - YUAN, Yuan - DAI, Yi - JIANG, Wei - HOU, Xiang - YI, Xiao - XU, Rui. SparG: A Sparse GEMM Accelerator for Deep Learning Applications. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2023-01-01, 13777 LNCS, pp. 529-547. ISSN 03029743. Dostupné na: https://doi.org/10.1007/978-3-031-22677-9_28, Registrované v: SCOPUS
[1.2] WANG, Yaqin - WEI-KOCSIS, Jin - SPRINGER, John A. - MATSON, Eric T. Deep Learning in Audio Classification. In Communications in Computer and Information Science, 2022-01-01, 1665 CCIS, pp. 64-77. ISSN 18650929. Dostupné na: https://doi.org/10.1007/978-3-031-16302-9_5, Registrované v: SCOPUS
[1.2] WEI, Moshi - HUANG, Yuchao - WANG, Junjie - SHIN, Jiho - HARZEVILI, Nima Shiri - WANG, Song. API recommendation for machine learning libraries: how far are we? In ESEC/FSE 2022 Proceedings of the 30th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022-11-07, pp. 370-381. Dostupné na: https://doi.org/10.1145/3540250.3549124, Registrované v: SCOPUS
[1.2] WU, Dezhi - REN, Yang - HE, Long - JOHNSON, Joseph. The identification of risk factors associated with COVID-19 in a large inpatient cohort using machine learning approaches. In Digital Innovation for Healthcare in COVID-19 Pandemic: Strategies and Solutions, 2022-01-01, pp. 189-199. Dostupné na: https://doi.org/10.1016/B978-0-12-821318-6.00017-7, Registrované v: SCOPUS
[1.2] XU, Zhenyi - PAN, Kai - XIA, Xiushan - CAO, Yang - KANG, Yu. A Review of Deep Learning Methods for Mobile Source Emissions Prediction. In Proceedings of SPIE The International Society for Optical Engineering, 2022-01-01, 12249, pp. ISSN 0277786X. Dostupné na: https://doi.org/10.1117/12.2637028, Registrované v: SCOPUS
[1.2] ZAFAR, Imran - AHMAD, Syed Umair - RATHER, Mohd Ashraf - KHAN, Azmat Ali - UL AIN, Qurat - SAFDER, Arfa - SEHGAL, Sheikh Arslan. The future of health diagnosis and treatment: an exploration of deep learning frameworks and innovative applications. In Deep Learning in Personalized Healthcare and Decision Support, 2023-01-01, pp. 1-21. Dostupné na: https://doi.org/10.1016/B978-0-443-19413-9.00002-3, Registrované v: SCOPUS
[1.2] ZENG, Zhi - LI, Xiang - SHA, Ying. Heterogeneous Propagation Graph Representation Learning for Fake News Detection. In Proceedings 24th IEEE International Conference on High Performance Computing and Communications, 8th IEEE International Conference on Data Science and Systems, 20th IEEE International Conference on Smart City and 8th IEEE International Conference on Dependability in Sensor, Cloud and Big Data Systems and Application, HPCC/DSS/SmartCity/DependSys 2022, 2022-01-01, pp. 456-463. Dostupné na: https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys57074.2022.00089, Registrované v: SCOPUS
[1.2] ZHANG, Beiqi - LIU, Tianyang - LIANG, Peng - WANG, Chong - SHAHIN, Mojtaba - YU, Jiaxin. Architecture Decisions in AI-based Systems Development: An Empirical Study. In Proceedings 2023 IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2023, 2023-01-01, pp. 616-626. Dostupné na: https://doi.org/10.1109/SANER56733.2023.00063, Registrované v: SCOPUS
[1.2] ZHAO, Yuliang - XIAO, Qijun - LI, Jinhao - TIAN, Kaixuan - YANG, Le - SHAN, Peng - LV, Xiaoyong - LI, Lianjiang - ZHAN, Zhikun. Review on image-based animals weight weighing. In Computers and Electronics in Agriculture, 2023-12-01, 215, pp. ISSN 01681699. Dostupné na: https://doi.org/10.1016/j.compag.2023.108456, Registrované v: SCOPUS
[3.1] ABDULKAREEM, Z.M. - HAMODI, Y.I. - ALI, S.S.M. - AL-SABIT, S.M.B. An analysis of performance in free-space optical communication using eight wavelength division multiplexing. In Texas Journal of Engineering and Technology. ISSN 2770-4491, 2023, vol. 24, pp. 13-19.
[3.1] AJUJI, M. - HAMID, R.M. - EMMANUEL, D.U. - TURAKI, A.M. - MUHAMMAD, A.N. Application of machine learning algorithms for fake news detection: A review. In ATBU Journal of Science, Technology and Education. ISSN 2277-0011, 2021, vol. 9, no. 4, pp. 91-100.
[3.1] AKINDOTE, O.J. - EGIEYA, Z.E. - EWUGA, S. K. - OMOTOSHO, A. - ADEGBITE, A.O. A review of data-driven business optimization strategies in the us economy. In International Journal of Management & Entrepreneurship Research. 2023, vol. 5, no. 12, pp. 1124-1138. doi: 10.51594/ijmer.v5i12.681.
[3.1] AKTÜRK, S. - SERBEST, K. Nesne tespiti için derin öğrenme kütüphanelerinin incelenmesi. In Journal of Smart Systems Research (JOINSSR). e-ISSN 2757-6787, 2022, vol. 3, no. 2, pp. 97-119.
[3.1] AL-FAYYADH, H.R.D. - ALI, S.A.G. - ABOOD, B. Modelling an adaptive learning system using artificial intelligence. In Webology. ISSN 1735-188X, 2022, vol. 19, no. 1, pp. 1-18.
[3.1] AL-HAMZI, Y.M. - SAHIBUDDIN, S.B. Neural network-based framework for understanding machine deep learning systems' open issues and future trends: A systematic literature review. In Turkish Journal of Computer and Mathematics Education (TURCOMAT). eISSN 1309-4653, 2021, vol. 12, no. 12, pp. 1567-1625.
[3.1] ALMUFTI, S.M. - MARQAS, R.B. - NAYEF, Z.A. - MOHAMED, T.S. Real time face-mask detection with arduino to prevent COVID-19 spreading. In Qubahan Academic Journal. 2021, vol. 1, no. 2, pp. 39-46. doi: 10.48161/qaj.v1n2a47.
[3.1] ALMUGBEL. Z. Bilingual summarization of English and Arabic genetic diseases texts. In International Journal for Innovation Education and Research. ISSN 2411-2933, 2021, pp. 342-732.
[3.1] AMRANI, A. - KADDAH, R. - TAVELLA, J.P. - SCHUMANN, M. Integration and evaluation of deep reinforcement learning controller in a building co-simulation environment. In 5th Building Simulation and Optimization (BSO-V 2020). 2020, 8 p. https://hal.archives-ouvertes.fr/hal-02957010.
[3.1] ANDRADE ARENAS, L.M. - LAVALLE SANDOVAL, J. - CABANILLAS-CARBONELL, M. - HERNÁNDEZ CELIS, D. Enterprise information security risks: asystematic review of the literature. In Indonesian Journal of Electrical Engineering and Computer Science. ISSN 502-4752, 2023, vol. 31, no. 3, pp. 1589-1604.
[3.1] ANDRIAN, R. - FADHILAH, I. - PURBANDONO, A. Pengembangan prototype pembelajaran berbasis mobile untuk anak berkebutuhan khusus dengan design thinking. In Techno.Com. ISSN 1412-2693, 2023, vol. 22, no. 4, pp. 904-913.
[3.1] ANTONIU, G. - VALDURIEZ, P. - HOPPE, H.C. - KRÜGER, J. Towards integrated hardware/software ecosystems for the edge-cloud-HPC continuum. In ETP4HPC: European Technology Platform for High Performance Computing, 2021, ETP4HPC White Papers. 2021, pp. 1-13. doi: 10.5281/zenodo.5534464.
[3.1] ANTSIPEROV, V.E. Neuromorphic method for coding/restoring images specified by a stream of poisson counts. In Journal of Radio Electronics. eISSN 1684-1719, 2023, no. 11, pp. doi: 10.30898/1684-1719.2023.11.30.
[3.1] ARONSON, D. - dos SANTOS, M. Identificação de regiões críticas para orientação de políticas públicas no combate ao COVID-19: apoio à decisão por meio daInteligência Artificial e do Método Multicritério THOR2. In 15º Congresso Brasileiro de Sistemas (CBS 2020). ISSN: 2446-6700, 2020, 19 p.
[3.1] ASYIFAH, A. - SYAFI'I, A. - HANIPAH, H. - ISPIYANI, S. Pengembangan aplikasi e-commerce untuk peningkatan penjualan online. In Action Research Literate. ISSN 2808-6988, 2023, vol. 7, no. 1, pp. 70-75.
[3.1] BANIECKI, H. - BIECEK, P. The grammar of interactive explanatory model analysis. In arXiv:2005.00497v2, 2020, 14 p.
[3.1] BECKER, T. - MERKEL, E. Digitale arbeitswelten-auswirkungen auf wirtschaft und bildungssystem. In: Fend L., Hofmann J. (eds.): Digitalisierung in Industrie-, Handels-und Dienstleistungsunternehmen. Springer Gabler. ISBN 978-3-658-35949-2, 2022, pp. 305-331.
[3.1] BRUNA, J. Aprenentatge algorísmic i xarxes neuronals profundes. In Butlletí de la Societat Catalana de Matemàtiques. 2021, vol. 36, pp. 5-67. doi: 10.2436/20.2002.01.97.
[3.1] BULGAKOV, D.Y. Features of the distributed computing organization in the cloud infrastructure of isod of the mia of Russia. In Akademičeskaja mysľ. eISSN 2588-0020, 2021, pp. 13-15.
[3.1] CAVALCANTI, L.F. - BERTON, L. Comparison of GANs for Covid-19 X-ray classification. In Anais do XVIII Encontro Nacional de Inteligência Artificial e Computacional. 2021, pp. 25-36. doi: 0.5753/eniac.2021.18238.
[3.1] CHEHAL, D. - GUPTA, P. - GULATI, P. - MADAAN, R. - BHATIA, K.K. Stress detection using machine learning techniques in IoT environment. In Smart Healthcare for Sustainable Urban Development. IGI Global. 2022, pp. 51-64. doi: 10.4018/978-1-6684-2508-4.ch004.
[3.1] CHEHAL, D. - GUPTA, P. - GULATI, P. - MADAAN, R. - BHATIA, K.K. Stress detection using machine learning techniques in IoT environment. In Smart Healthcare for Sustainable Urban Development. IGI Global. 2022, pp. 51-64. doi: 10.4018/978-1-6684-2508-4.ch004.
[3.1] CHEN, J. - WANG, Z. - ZHENG, H. - XIAO, J. - MING, Z. ROBY: Evaluating the robustness of a deep model by its decision boundaries. In arXiv:2012.10282v1. 2020, pp. 1-14.
[3.1] CHIROMA, H. Deep learning algorithms based fingerprint authentication: systematic literature review. In Journal of Artificial Intelligence and Systems. eISSN 2642-2859, 2021, vol. 3, no. 1, pp. 157-197.
[3.1] CHUNG, C.-J. - SHAMIR, L. Introducing machine learning with scratch and robots as a pilot program for K-12 computer science education. In Third International Conference on Future Learning (ICFL). 2020, 6 p. http://people.cs.ksu.edu/~lshamir/publications/ICFL2020.pdf.
[3.1] CIL, I. - ARISOY, F. - KILINC, H. Visibility of resources and assets in the shipyard through industrial internet of things. In Global Journal of Computer Sciences: Theory and Research. 2021, vol. 11, no. 2, pp. 88-101. doi: 10.18844/gjcs.v11i2.5429.
[3.1] CORRALES COMPAGNUCCI, M. - WILSON LOWERY, M. - FENWICK, M. - FORGÓ, N. - BÄRNIGHAUSEN T. Part III - Knowledge, risk and control. In eHealth: Human Autonomy, Data Governance and Privacy in Healthcare. Cambridge University Press. 2022, pp. 207-308. doi:10.1017/9781108921923.012.
[3.1] DA SILVA, D.R. - DA COSTA, D.F. - PIMENTA, A. A Influência da Inteligência artificial na contabilidade e na tributação das organizações: uma revisão de literatura. In 22nd USP International Conference in Accounting: Accounting in favor of sustainable development. 2022, pp. 1-16. https://congressousp.fipecafi.org/anais/22UspInternational/ArtigosDownload/3929.pdf.
[3.1] DAS, T. - KUMAR, V. - PRAKASH, A. - LYNN, A.M. Artificial intelligence in skin cancer: diagnosis and therapy. In Skin Cancer: Pathogenesis and Diagnosis. Springer. ISBN 978-981-16-0363-1, 2021, pp. 143-171.
[3.1] DE ALMEIDA, C.D.F. - LIMA, J.P.D.O. - DE OLIVEIRA, J.V.M. - DE OLIVEIRA, R.C. - OLIVEIRA, E.F. Arquitetura de sistema em nuvem para apoio à implantação de visão computacional em linhas de produção na Indústria 4.0. In XV Simpósio Brasileiro de Automação Inteligente - SBAI 2021. ISSN 2175-8905, 2021, pp. 2091-2098.
[3.1] DE OLIVEIRA SANTOS, F. - HAHN, I.S. A systematic literature review and taxonomy proposition of machine learning techniques in smart manufacturing. In Multidisciplinary Business Review. 2023, vol. 16, no. 2, pp. 66-88. doi: 10.35692/07183992.16.2.6.
[3.1] DLI, M. - PUCHKOV, A. - LOBANEVA, E. Analysis of the influence of the architecture of the input layers of convolution and subsampling of a deep neural network on the quality of image recognition. In Journal of Applied Informatics. ISSN 1993-8314, 2020, vol. 15, no. 1, pp. 113-122.
[3.1] EFREMOV, M.A. - KHOLOD, I.I. Developing universal framework design for federated learning. In Software & System. 2022, vol. 2, no. 35, pp. 263-271. doi: 10.15827/0236-235X.138.263-272.
[3.1] FAKHRI, M. - SIBUEA, R.B.V. - SILALAHI, T.K. Timeliness of spp payments at smk tritech infomatika using naive bayes algorithm. In Electronic Integrated Computer Algorithm Journal. 2023, vol. 1, no. 1, pp. 9-15. doi: 10.62123/enigma.v1i1.9.
[3.1] FARIDAH, F. Revitalisasi bahasa daerah melalui tradisi batuter dengan metode imitasi model pada pembelajaran muatan lokal: upaya meningkatkan penguasaan bahasa ibu di kelas v sd negeri i tepas. In Action Research Literate. ISSN 2808-6988, 2023, vol. 7, no. 11, pp. 193-201.
[3.1] FILHO, D.L.B. - ZAGANELLI, M.V. Civil liability and artificial intelligence: Who is responsible for damages caused by autonomous intelligent systems? In Derecho y Cambio Social. ISSN 2224-4131, 2021, no. 64, pp. 338-349.
[3.1] FILHO, D.L.B. - ZAGANELLI, M.V. Responsabilidade civil e inteligência artificial: quem responde por danos ocasionados por sistemas inteligentes autônomos? (Civil liability and artificial intelligence: who is responsible for damages caused by autonomous intelligent). In
[3.1] FORRADELLAS, R.R. Impacto de la transformación digital y la inteligencia artificial aplicado a negocio: factores económicos y legales. In: Sergio Luis Náñez Alonso,
[3.1] GANIE, S.M. - MALIK, M.B. - ARIF, T. Machine learning techniques for diagnosis of type 2 diabetes using lifestyle data. In International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing. Springer. ISBN 978-981-16-3070-5, 2022, vol. 1394, pp. 487-497.
[3.1] GODBOLE, M. - AGARWAL, A. - SAHAY, B.S. Application of AI/ML/NLP technology into the business process modelling. In International Journal of Advanced Research in Engineering and Technology (IJARET). ISSN 0976-6480, 2021, vol. 12, no. 5, pp. 37-50.
[3.1] HAQQI, M.S. - KUSUMOPUTRO, B. Komparasi metode optimasi adam dan SGD dalam skema direct inverse control untuk sistem kendali data sikap dan ketinggian quadcopter. In ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika. ISSN 2338-8323, 2022, vol. 10, no. 2, pp. 458-469.
[3.1] HASHMI, F.S. - NAEEM, O. - FARID, G. - ALI, A. - KAMRAN, M. Exploring the credibility and trustworthiness of web 2.0 tools during Covid-19 from the eyes of information providers. In Pakistan Journal of Medical & Health Sciences. 2023, vol. 17, no. 10, pp. 27-31. doi: 10.53350/pjmhs2023171027.
[3.1] HIMANSHI - VASHISHTHA, J. A holistic study on aspect-based sentiment analysis. In International Joint Conference on Advances in Computational Intelligence (IJCACI 2022). 2022, pp. 233-249. doi: 10.1007/978-981-99-1435-7_20.
[3.1] HOSSAIN, M. M. Using ChatGPT and other forms of generative AI in systematic reviews: Challenges and opportunities. In Journal of Medical Imaging and Radiation Science s. 2023, vol. 55, no. 1, pp. 11-12. dop: 10.1016/j.jmir.2023.11.005.
[3.1] HUANG, G. - ZHOU, L. - SHI, J. - HUANG, J. - YANG, Y. - CHEN, N. - LIU, Q. - GONG, X. - WANG, Z. - TANG, L. - YU, W. Application and comparison of machine learning algorithms in disease risk prediction. In Chinese Health Resources. ISSN 1007-953X. 2020, vol. 23, no. 4, pp. 432-436.
[3.1] HUANG, L. - LI, J. - DING, X. - ZHANG, Y. - CHEN, H. - OZCAN, A. Cycle-consistency-based uncertainty quantification of neural networks in inverse imaging problems. In Intelligent Computing. 2023, vol. 2. doi: 10.34133/icomputing.0071.
[3.1] IBOLYA, S. A mesterségesintelligencia-rendszerek felelősségi kérdései az uniós dokumentumok és a magyar szabályozás tükrében. In Publicationes Universitatis Miskolcinensis, Sectio Juridica et Politica. 2022, vol. 40, no. 2, pp: 364-387. doi: 10.32978/sjp.2022.030.
[3.1] IBOLYA, S. Examining the issues of legal personhood of artificial intelligence and robots. In Publicationes Universitatis Miskolciensis. Sectio Juridica et Politica. 2019, vol. 38, no. 1, pp. 467-486. doi: 10.32978.sjp.2020.026.
[3.1] IRIAWAN, A.I. proses pemeriksaan saksi di persidangan pidana yang efektif efisien berdasarkan asas legalitas. In Action Research Literate. 2023, vol. 7, no. 11, pp. 178-192. doi: 10.46799/arl.v7i11.205.
[3.1] ISLAM, M.J. - NGUYEN, H.A. - PAN, R. - RAJAN, H. What do developers ask about ML libraries? A large-scale study using stack overflow. In arXiv:1906.11940v1. 2019, 13 p.
[3.1] JONAS, D. - YUSUF, N.A. - ZAHRA, A.R.A. Enhancing security frameworks with artificial intelligence in cybersecurity. In International Transactions on Education Technology. 2023, vol. 2, no. 1, pp. 83-91. doi: 10.33050/itee.v2i1.428.
[3.1] JONES, G.M. - WINSTER, S.G. Analysis of crime report by data analytics using Python. In Challenges and Applications of Data Analytics in Social Perspectives. IGI Global. 2020, pp. 54-79. doi: 10.4018/978-1-7998-2566-1.ch003.
[3.1] JOSEPH, L. - O'LEARY, M.L. - ZAGRÉ, B. Integrating hybrid grid partition and rough set method for fuzzy rule generation: a novel approach for accurate dataset classification. In International Journal of Enterprise Modelling. 2023, vol. 17, no. 2, pp. 88-98. doi: 10.35335/emod.v17i2.21.
[3.1] KHAN, S.N. - KHAN, S.U. A review of industry and ai impact on human resource management. In Journal of Advancement in Computing. 2023, vol. 2. no. 1, pp. 30-38. doi: 10.36755/jac.v2i1.60.
[3.1] KILIÇ, R. - ALBAYRAK ÜNAL, Ö. - ERKAYMAN, B. Fleet type planning for private air transport after Covid-19. In Gazi University Journal of Science Part C: Design and Technology. 2023, vol. 11, no. 2, pp. 475-485. doi: 10.29109/gujsc.1178375.
[3.1] KIM, Y.-T. - JIN, K.H. Diffusive DTW algorithm for optimizing distance matrix computation structure. In Proceedings of the Korean Institute of Information and Commucation Sciences Conference. 2022, pp. 93-96. https://koreascience.kr/article/CFKO202232558482352.pdf.
[3.1] KIOURT, C. - PAVLIDIS, G. - MARKANTONATOU, S. Deep learning approaches in food recognition. In: Tsihrintzis, G., Jain, L. (Eds): Machine Learning Paradigms. Learning and Analytics in Intelligent Systems. Springer. 2020, vol 18, pp. 1-26. https://doi.org/10.1007/978-3-030-49724-8_4
[3.1] KOSTIĆ, M.A. - DRAŠKOVIĆ, D.D. Differentiable programming in machine learning. In Tehnika. 2023, vol. 78, no. 6, pp. 699-711. doi: 0.5937/tehnika2306699K.
[3.1] KUMAR, A. - UPADHYAY, P. - KUMAR, A.S. Fuzzy machine learning algorithms for remote sensing image classification. CRC Press. ISBN 978-0-367-35571-5, 2020, 192 p.
[3.1] KUČIN, J.J. - MUCHAMEDIEV, R. - MUCHAMEDIEVA, E. Ocenka vozmožnosti vydelenija zon plastovogo okislenija metodami mašinnogo obyčenija. In News. Series Physics and Information Technology. ISSN 1991-346X, 2023, vol. 3, pp. 210-222.
[3.1] KĘDZIORA, E.J. - MAKSIM, G.K. Performance analysis of machine learning libraries. In Journal of Computer Sciences Institute (JCSI). 2021, vol. 20, pp. 230-236. doi: 10.35784/jcsi.2693.
[3.1] LAMBA, M. - MADHUSUDHAN, M. Tools and techniques for text mining and visualization. In Text Mining for Information Professionals. Springer. 2022, pp. 295-318. doi: 10.1007/978-3-030-85085-2_10.
[3.1] LENZ, U. Co-working mit Künstlicher Intelligenz: Szenarien für die Arbeit der Zukunft. In HR Consulting Review, Sonderband Zukunft der Arbeit. 2020, vol. 12, pp. 404-407.
[3.1] LEVENTI-PEETZ, A.-M. - ÖSTREICH, T. Deep learning reproducibility and explainable ai (xai). In arXiv:2202.11452. 2022, pp.1-15.
[3.1] LEWITA, K. - KRZEMIŃSKA, A. - KOZLOVSKA, P. - MILLER, T. Psychological impact of artificial intelligence on the science. In Mižnarodna naukova konferencija Kompleksnyj pidchid do modernizaciji nauky: metody modeli ta muľtidiscyplinarnisť (MCND). 2023, pp. 235-240.
[3.1] MANIRIHO, P. - MAHMOOD, A.N. - CHOWDHURY, M.J.M. A Survey of recent advances in deep learning models for detecting malware in desktop and mobile platforms. arXiv:2209.03622. 2022, pp. 1-24. doi: 10.48550/arXiv.2209.03622.
[3.1] MARLINA, L. - KURNIAWAN, H. - WAHYUNI, S. Development of an e-learning model using cms moodle during Covid 19. In International Journal Of Computer Sciences and Mathematics Engineering. 2023, vol. 2, no. 2, pp. 248-253. doi: 10.61306/ijecom.v2i2.49.
[3.1] MARTINS, A.B. - FONSECA, I. - FARINHA, J.T. - REIS, J. - MARQUES CARDOSO, A.J. Prediction maintenance based on vibration analysis and deep learning–a case study of a drying press supported on a hidden Markov model. In Available at SSRN 4194601. 2022, pp. 1-33.
[3.1] MATHEW, P.S. - PILLAI, A.S. Boosting traditional healthcare-analytics with deep learning AI: Techniques, frameworks and challenges. In Enabling AI Applications in Data Science. Springer, Cham. ISBN 978-3-030-52066-3, 2020, pp. 335-365.
[3.1] MAYO, S.M. Restrictions, challenges and opportunities for AI and ML. In International Journal of Innovations in Science & Technology (IJIST). ISSN 2709-6130, 2023, vol. 5, no. 2, pp. 121-132.
[3.1] MENG, N. - DHIMOLEA, T.K. - ALI, Z. AI-enhanced education: Teaching and learning reimagined. In: Albert M.V., Lin L., Spector M.J., Dunn L.S. (eds.): Bridging Human Intelligence and Artificial Intelligence. Springer. ISBN 978-3-030-84728-9, 2022, pp. 107-124.
[3.1] MIRANI, A.A. - MEMON, M.S. - CHOHAN, R. - WAGAN, A.A. - QABULIO, M. Machine learning in agriculture: A review. In International Journal of Scientific & Technology Research (IJSTR). ISSN 2277-8616, 2021, vol. 10, no. 5, pp. 229-234.
[3.1] MORSHED, M.M. An empirical study of deep web based on graph analysis. In Social Science Research Network (SSRN). 2020, 11 p. https://ssrn.com/abstract=3720454.
[3.1] NAGARHALLI, T.P. - SAVE, A.M. - SHEKOKAR, N.M. Fundamental models in machine learning and deep learning. In: Ramchandra S. Mangrulkar et al (eds.): Design of Intelligent Applications Using Machine Learning and Deep Learning Techniques. Chapman and Hall/CRC. ISBN 978-0-367-67979, 2021, pp. 13-36.
[3.1] NAQRASH, M. The influence of data mining in increasing benefits of libraries in Jordanian governmental universities. In Library Philosophy and Practice. ISSN 1522-0222, 2021, 14 p.
[3.1] NAZARIA, K. - MAZAHERI, S. - BIGHAM, B.S. Creating a new color space utilizing PSO and FCM to perform skin detection by using neural network and ANFIS. In arXiv:2106.11563v1. 2021, 9 p.
[3.1] NAZAROV, T.R. - MAMEDOVA, N.A. - URINCOV, A.I. Recommended parameters for testing and evaluating the effectiveness of a software package for detecting industrial objects on orthophoto planes. In III Vserossijskaja naučnaja konferencija s meždunarodnym yčastem Nauka, technologii, obščestvo: Ekologičeskoj imžiniring v interesach ustojčivogo razvitija territorij (NTO-III). 2022, pp. 470-479. doi: 10.47813/nto.3.2022.6.470-479.
[3.1] NAZAROV, T.R. - MAMEDOVA, N.A. - URINTSOV, A.I. Recommended parameters for testing and evaluating the effectiveness of a software package for detecting industrial objects on orthophoto planes. In II Vserossijskaja naučnaja konferencija s meždunarodnym učastjem: Nauka, technologii, obščestvo: Ekologičeskij inžiniring v interesach ustojčivogo razvitija territorij (NTO-III). 2022, pp. 470-479. doi: 10.47813/nto.3.2022.6.470-479.
[3.1] NAZAROV, T.R. - MAMEDOVA, N.A. Automatizirovannnoe rešenie zadači detektirovanija promyšlennych objektov na ortofotoplane s pomoščju nejronnoj seti. In Programmnyje produkty i sistemy. 2023, vol. 36, no. 1, pp. 144-158. doi: 10.15827/0236-235X.141.144-158.
[3.1] OKUBOYEJO, S. - HAQBEEN, J. - ITO, T. Evaluating the performance of machine learning classifiers on predicting hypothyroidism for public healthcare good. In IIAI Letters on Informatics and Interdisciplinary Research. 2023, vol. 4, pp. 1-. doi: 10.52731/liir.v004.166.
[3.1] OWHONDA, G. - LUKE,A. - INYELE, J.R. - EZE-EMIRI, C. The data analysis and validation engine: An application of artificial intelligence in the improvement of COVID-19 data management. In International Journal of Community Medicine and Public Health. ISSN 2394-6032, 2022, vol. 9, no. 6, pp. 2437-2441.
[3.1] PAAN, W. - LENG, Y. - JIANG, Q. -WU, T. End-to-end aircraft wake feature parameter estimation. In Ship Electronic Engineering. ISSN 1672-9730, 2022, vol. 42. no. 9, pp. 87-91.
[3.1] PANCIROLI, C. - RIVOLTELLA, P.C. - GABBRIELLI, M. - RICHTER, O.Z. Artificial intelligence and education: New research perspectives. In Form@re. Open Journal per la formazione in rete. ISSN 1825-7321, 2020, vol. 20, no. 3, pp. 1-12.
[3.1] PARLAK, İ.E. - ÇELIK, M.T. - IŞIK, G. - YILDIZ, A. Determination of critical factors for the success of machine learning libraries by considering fuzzy factor interrelationships. In Available at SSRN 4642987. 2023. doi: 10.2139/ssrn.4642987.
[3.1] PEREZ-CERROLAZA, J. - ABELLA, J. - BORG, M. - DONZELLA, C. - CERQUIDES, J. - CAZORLA, F.J. et al. Artificial intelligence for safety-critical systems in industrial and transportation domains: A survey. In ACM Computing Surveys. 2023, pp. 1-38. doi: 10.1145/3626314.
[3.1] PIO, P.B. - RIVOLLI, A. - DE CARVALHO, A.C. - GARCIA, L.P. Noise filter with hyperparameter recommendation: a meta-learning approach. In Anais do XX Encontro Nacional de Inteligência Artificial e Computacional. 2023, pp. 625-639. doi: 10.5753/eniac.2023.234295.
[3.1] RAGHAVENDRA, M.K. - SRAVANI, P. - NIKITHA, K. - UMASRI, K. IOT and machine learning approch rapid screening for covid-19. In Journal of Engineering Sciences. ISSN:0377-9254, 2022. vol. 13, no. 07, pp. 1-8.
[3.1] RAHARDJA, U. - AINI, Q. - SUNARYA, P.A. - MANONGGA, D. - JULIANINGSIH, D. The use of tensorflow in analyzing air quality artificial intelligence predictions PM2.5. In Aptisi Transactions on Technopreneurship (ATT). 2022, vol. 4, no. 3, pp. 313-324. doi: 10.34306/att.v4i3.282.
[3.1] RAJU, B. - BONAGIRI, R. A cavernous analytics using advanced machine learning for real world datasets in research implementations. In Materialstoday: Proceedings. ISSN 2214-7853, 2020, pp. 1-6.
[3.1] RAMAN, D.R. - SARAVANAN, D. - PARTHIBAN, R. - PALANI, D.U. - DAVID, D.D.S. - USHARANI, S. - JAYAKUMAR, D. A study on application of various artificial intelligence techniques on internet of things. In European Journal of Molecular & Clinical Medicine (EJMCM). ISSN 2515-8260, 2020, vol. 7, no. 9, pp. 2531-2557.
[3.1] RAMBA, L.S. - ARIA, M. Design of a voice controlled home automation system using deep learning convolutional neural network (DL-CNN). In Telekontran. ISSN 2303-2901, 2020, vol. 8, no. 1, pp. 57-73.
[3.1] RAMDANI, F. - FURQON, M.T. The simplicity of XGBoost algorithm versus the complexity of random forest, support vector machine, and neural networks algorithms in urban forest classification. In F1000Research. 2022, pp. 1-14. doi: 10.12688/f1000research.124604.1.
[3.1] RETKOWITZ, D. Datenbasierte algorithmen zur unterstützung von entscheidungen mittels künstlicher neuronaler netze. In Frick D. et al. (eds.): Data Science. Springer Vieweg, Wiesbaden. 2021, pp. 209-224. doi: 10.1007/978-3-658-33403-1_13.
[3.1] ROH, J. - CHO, S.-Y. - LIM, S.-H. Web service platform for customizing and inference of deep learning model. In Proceedings of the Korea Information Processing Society Conference. ISSN 2005-0011, 2020, vol. 27, no. 2, pp. 934-936.
[3.1] ROSELINE, V. - CHELLAM, G.H. A novel fusion attention algorithm for sentimental image analysis. In Indian Journal of Science and Technology. ISSN 0974-6846, 2022, vol. 15, no. 9, pp. 386-394.
[3.1] SAADAT, Md N. - SHUAIB, M. Advancements in deep learning theory and applications: Perspective in 2020 and beyond. In Advances and Applications in Deep Learning. IntechOpen. 2020, pp. 1-19. doi: 10.5772/intechopen.92271.
[3.1] SAKHNYUK, P.A. - SAKHNYUK, T.I. Study of the relationship of citizens’appeals to the open portal of the government of moscow with the socio-economic indicators of the administrative district. In Krasnoyarsk Science. 2023, vol. 12, no. 2, pp. 172-190. doi: 10.12731/2070-7568-2023-12-2-172-190.
[3.1] SARUMATHI, S. - VAISHNAVI, M. - GEETHA, S. - RANJETHA, P. Comparative analysis of machine learning tools: A review. In International Journal of Computer and Information Engineering. ISSN 2010-3921, 2021, vol. 15, no. 6, pp. 354-363.
[3.1] SAYED, S.A. - ABDEL-HAMID, Y. - HEFNY, H.A. Artificial intelligence-based traffic flow prediction: a comprehensive review. In Journal of Electrical Systems and Information Technology. 2023, vol. 10, no. 1, pp. 1-42. doi: 10.1186/s43067-023-00081-6.
[3.1] SHAHVAROUGHI FARAHANI, M. - ESFAHANI, A. Opportunities and challenges of applying artificial intelligence in the financial sectors and startups during the coronavirus outbreak. In International journal of Innovation in Management Economics and Social Science. ISSN 2783-2678, 2022, vol. 2, no. 4, pp. 33-55.
[3.1] SHARMA, S. - CHAURASIA, P. Artificial intelligence in education: Retrospect and prospect. In University News. A Weekly Journal of Higher Education. ISSN 0566-2257, 2023, vol. 61, pp. 24-29.
[3.1] SHUBITA, A.F. - SALEH, Y. The application of artificial intelligence technology in cultural heritage development. In International Journal of Recent Technology and Engineering (IJRTE). ISSN 2277-3878, 2020, vol. 8., no. 5, pp. 1140-1146.
[3.1] STEIN, J.-P. - MESSINGSCHLAGER, T. - HUTMACHER, F. Künstliche intelligenz. In: Appel, M., Hutmacher, F., Mengelkamp, C., Stein, J.P., Weber, S. (eds.): Digital ist besser?! Psychologie der Online-und Mobilkommunikation. Springer, Berlin, Heidelberg. 2023, pp. 247-260. doi: 10.1007/978-3-662-66608-1_17.
[3.1] SUBASI, A. - QURESHI, S.A. - BRAHIMI, T. - SERIRETI, A. COVID-19 detection from X-ray images using artificial intelligence. In Miltiadis D. Lytras, Akila Sarirete, Anna Visvizi, Kwok Tai Chui (Eds.): Artificial Intelligence and Big Data Analytics for Smart Healthcare. Academic Press. ISBN 978-0-12-822060-3, 2021, pp. 209-224.
[3.1] SULEIMAN, D. - AL-ZEWAIRI, M. - ETAIWI, W. - AL-NAYMAT, G. Empirical evaluation of the classification of deep learning under big data processing platforms. In International Journal of Advanced Trends in Computer Science and Engineering. ISSN 2278-3091, 2020, vol. 9, no. 5, pp. 9189-9196.
[3.1] THANGAVELOO, S. - YASIN, S.M. Development of face mask detection system using arduino alert feature. In Applied Information Technology And Computer Science (AITC). eISSN 2773-5141, 2023, vol. 4, no. 1, pp. 935-951.
[3.1] TOMBE, R.- VIRIRI, S. Remote sensing image scene classification: Advances and open challenges. In Geomatics. 2023, vol. 3, no. 1, pp. 137-155. doi: 10.3390/geomatics3010007.
[3.1] TURKTARHAN, G. - ALEONG, D.S. - ALEONG, C. Re-architecting the firm for increased value: How business models are adapting to the new AI environment. In Journal of Global Business Insights. ISSN 2640-6470. 2022, vol. 7, no. 1, pp. 33-49. doi: 10.5038/2640-6489.7.1.1154.
[3.1] UDAWANT, P. - SRINATH, P. Leaf diagnosis using transfer learning. In Iyer, B., Ghosh, D., Balas, V.E. (eds.): Applied Information Processing Systems. Advances in Intelligent Systems and Computing. Springer. ISSN 2194-5357, 2022, vol. 1354, pp. 235-246.
[3.1] UMACHANDRAN, K. - DINESH, D. Deep learning: Foundational preparation for upskilling. In International Conference on Emerging Technology and Interdisciplinary Sciences. 2021, pp. 29-39. doi: 10.57040/icetis.vi.4.
[3.1] VAVILOVA, D.D. - KETOVA, K.V. Neural network model for forecasting human capital. In Intelligent Systems in Manufacturing. ISSN 1813-7911, 2020, vol. 18, no. 1, pp. 26-35.
[3.1] VOSKERGIAN, D. - ISHAQ, I. Smart e-waste management system utilizing internet of things and deep learning approaches. In Journal of Smart Cities and Society. 2023, pp. 77-98. doi: 10.3233/SCS-230007.
[3.1] WICHT, P. - HAUSMANN, A. - HOSEINI, S. et al. Aufbau eines data-science-teams – „Lessons learned“. In Wirtschaftsinformatik & Management. ISSI 1867-5905, 2021, vol. 13, pp. 266-275.
[3.1] XING, Z. - HUANG, M. - PENG, D. Overview of machine learning-based traffic flow prediction. In Digital Transportation and Safety. 2023, vol. 2, no. 3, pp. 164-175. doi: 10.48130/DTS-2023-0013.
[3.1] YASEEN, A.T. Data mining between classical and modern applications: A review. In AL-Rafidain Journal of Computer Sciences and Mathematics. 2021, vol. 15, no. 2, pp. 171-191. doi: 10.33899/csmj.2021.170020.
[3.1] YIN, M. - ZHANG, H. - VAN RENESSE, R. - SIRER, E.G. CedrusDB: Persistent key-value store with memory-mapped lazy-trie. In arXiv:2005.13762.v1. 2020, pp. 1-15.
[3.1] YUNUSA, A.A. - ZAMBUK, F.U. - YA'U, B.I. - HUSSAINI, H. - HARUNA, I. An adversarial examples against deep learning-based network intrusion detection system: A review. In ATBU Journal of Science, Technology and Education. ISSN: 2277-0011, 2023, vol. 11, no. 2, pp. 189-204.
[3.1] ZHANG, C. - DIAO, C. - GUO, T. GeoAI for Agriculture. In: Song Gao. YingjieHu, Wenwen Li (eds.): Handbook of Geospatial Artificial Intelligence. CRC Press. ISBN 978-1-032-31166-1, 2023, 330-350.
BOBÁK, Martin - HLUCHÝ, Ladislav - BELLOUM, Adam S.Z. - CUSHING, Reginald - MEIZNER, Jan - NOWAKOWSKI, Piotr - TRAN, Viet - HABALA, Ondrej - MAASSEN, Jason - SOMOSKÖI, Balázs - GRAZIANI, Mara - HEIKKURINEN, Matti - HÖB, Maximilian - SCHMIDT, Jan. Reference exascale architecture. In eScience 2019 : 15th International Conference on eScience. - Los Alamitos, California, USA : IEEE, 2019, 2019, art. no. 9041776, p. 479-487. ISBN 978-1-7281-2451-3. Dostupné na: https://doi.org/10.1109/eScience.2019.00063 (eScience 2019 : 15th IEEE International Conference on eScience) Typ: ADMB
BOBÁK, Martin** - HABALA, Ondrej - HLUCHÝ, Ladislav. Exacsale flood modelling in environment supporting urgent computing. In Advances in intelligent systems and computing : Advances in natural computation, fuzzy systems and knowledge discovery - Volume 2. - Wroclaw : Springer, 2020, vol. 1075, p. 384-391. (2019: 0.184 - SJR, Q3 - SJR). ISSN 2194-5357. Dostupné na: https://doi.org/10.1007/978-3-030-32591-6_41 (ICNC-FSKD 2019 : 15th International conference on natural computation, fuzzy systems and knowledge discovery) Typ: ADMB
HLUCHÝ, Ladislav** - BOBÁK, Martin - MÜLLER, Henning - GRAZIANI, Mara - MAASSEN, Jason - SPREEUW, Hanno - HEIKKURINEN, Matti - PANCAGE-STEEG, Jörg - SPAHR, Stefan - VOR DEM GENTSCHEN FELDE, Nils Otto - HÖB, Maximilian - SCHMIDT, Jan - BELLOUM, Adam S.Z. - CUSHING, Reginald - NOWAKOWSKI, Piotr - MEIZNER, Jan - RYCERZ, Katarzyna - WILK, Bartosz - BUBAK, Marian - HABALA, Ondrej - ŠELENG, Martin - DLUGOLINSKÝ, Štefan - TRAN, Viet - NGUYEN, Giang. Heterogeneous exascale computing. In Recent advances in intelligent engineering : volume dedicated to Imre J. Rudas' seventieth birthday. - Cham, Switzerland : Springer, 2020, p. 81-110. ISBN 978-3-030-14349-7. ISSN 2193-9411. Dostupné na: https://doi.org/10.1007/978-3-030-14350-3_5 Typ: AECA
Citácie:
[1.1] CAINO-LORES, Silvina - CARRETERO, Jesus - NICOLAE, Bogdan - YILDIZ, Orcun - PETERKA, Tom. Toward High-Performance Computing and Big Data Analytics Convergence: The Case of Spark-DIY. In IEEE ACCESS. ISSN 2169-3536, 2019, vol. 7, no., pp. 156929-156955., Registrované v: WOS
[1.1] GAO, Jiangang - ZHENG, Fang - QI, Fengbin - DING, Yajun - LI, Hongliang - LU, Hongsheng - HE, Wangquan - WEI, Hongmei - JIN, Lifeng - LIU, Xin - GONG, Daoyong - WANG, Fei - ZHENG, Yan - SUN, Honghui - ZHOU, Zhou - LIU, Yong - YOU, Hongtao. Sunway supercomputer architecture towards exascale computing: analysis and practice. In SCIENCE CHINA-INFORMATION SCIENCES. ISSN 1674-733X, 2021, vol. 64, no. 4, pp., Registrované v: WOS
[1.1] HE, X.B. - CHEN, X. - GUO, H. - LIU, X. - CHEN, D.X. - YANG, Y.L. - GAO, J. - FENG, Y.L. - CHEN, L.D. - DIAO, X.A. - CHEN, Z.N. Scalability and efficiency challenges for the exascale supercomputing system: practice of a parallel supporting environment on the Sunway exascale prototype system. In FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING. ISSN 2095-9184, JAN 2023, vol. 24, no. 1, p. 41-58. Dostupné na: https://doi.org/10.1631/FITEE.2200412, Registrované v: WOS
[1.1] LIU, Jian - YAN, Zhen - HAO, Junying - LIU, Weimin. The influence of proton radiation on the friction and wear of Ti:WSsub2/sub/P201 composite lubricating materials for space application. In WEAR, 2024, vol. 538, no., pp. ISSN 0043-1648., Registrované v: WOS
[1.1] ZHUO, Xin - CAO, Jun - HUANG, Haibo - LIU, Li - SUO, Xinkun - YE, Peiqing - ABBAS, Zeshan. Cavitation erosion resistance and tribological performance of PAI/PI/EP soft coating on 20CrMo. In WEAR, 2024, vol. 536, no., pp. ISSN 0043-1648., Registrované v: WOS
[1.2] KUMAR, Avneesh - KUMAR, Sandeep - SRIVASTAVA, Mudit Prakash - YADAV, Prachi - SURBHI - RANA, Devendra Kumar. Structural and Optical Properties of Chalcogenide WSinf2/inf Thin Film. In Springer Proceedings in Materials, 2024-01-01, 37, pp. 267-274. ISSN 26623161. Dostupné na: https://doi.org/10.1007/978-981-99-6766-7_24, Registrované v: SCOPUS
HLUCHÝ, Ladislav - BOBÁK, Martin - TRAN, Viet - MADOUGOU, Souley - MAASSEN, Jason - GRAZIANI, Mara - MÜLLER, Henning - SOMOSKÖI, Balázs - SCHMIDT, Jan - CUSHING, Reginald - MEIZNER, Jan - NOWAKOWSKI, Piotr. Validation of the second prototype and final PROCESS architecture : Deliverable D4.5. 2020. 20 p. Dostupné na internete: https://www.process-project.eu/wp-content/uploads/2020/02/D4.5_Validation_of_2nd_prototype_and_final_PROCESS_architecture.pdf Typ: GHG
BOBÁK, Martin** - HLUCHÝ, Ladislav - HABALA, Ondrej - TRAN, Viet - CUSHING, Reginald - VALKERING, Onno - BELLOUM, Adam S.Z. - GRAZIANI, Mara - MÜLLER, Henning - MADOUGOU, Souley - MAASSEN, Jason. Reference exascale architecture (extended version). In Computing and informatics, 2020, vol. 39, no. 4, p. 644-677. (2019: 0.496 - IF, Q4 - JCR, 0.217 - SJR, Q3 - SJR, karentované - CCC). (2020 - Current Contents). ISSN 1335-9150. Dostupné na: https://doi.org/10.31577/CAI_2020_4_644 Typ: ADDA
Citácie:
[2.1] KRANZLMUELLER, Dieter - HOEB, Maximilian. PREFACE TO THE SPECIAL ISSUE ON PROVIDING COMPUTING SOLUTIONS FOR EXASCALE CHALLENGES. In COMPUTING AND INFORMATICS. ISSN 1335-9150, 2020, vol. 39, no. 4, pp. 617-621. Dostupné na: https://doi.org/10.31577/cai_2020_4_617, Registrované v: WOS
CUSHING, Reginald** - VALKERING, Onno - BELLOUM, Adam S.Z. - MADOUGOU, Souley - BOBÁK, Martin - HABALA, Ondrej - TRAN, Viet - MEIZNER, Jan - NOWAKOWSKI, Piotr - GRAZIANI, Mara - MÜLLER, Henning. PROCESS data infrastructure and data services. In Computing and informatics, 2020, vol. 39, no. 4, p. 724-756. (2019: 0.496 - IF, Q4 - JCR, 0.217 - SJR, Q3 - SJR, karentované - CCC). (2020 - Current Contents). ISSN 1335-9150. Dostupné na: https://doi.org/10.31577/CAI_2020_4_724 Typ: ADDA
Citácie:
[1.2] MARIENKO, Maiia V. Tools and Services of the Cloud-Based Systems of Open Science Formation in the Process of Teachers’ Training and Professional Development. In Lecture Notes in Business Information Processing. ISSN 18651348, 2021-01-01, 429 LNBIP, pp. 108-120. Dostupné na: https://doi.org/10.1007/978-3-030-85893-3_8, Registrované v: SCOPUS
[2.1] KRANZLMUELLER, Dieter - HOEB, Maximilian. PREFACE TO THE SPECIAL ISSUE ON PROVIDING COMPUTING SOLUTIONS FOR EXASCALE CHALLENGES. In COMPUTING AND INFORMATICS. ISSN 1335-9150, 2020, vol. 39, no. 4, pp. 617-621. Dostupné na: https://doi.org/10.31577/cai_2020_4_617, Registrované v: WOS
GRAZIANI, Mara** - EGGEL, Ivan - DELIGAND, François - BOBÁK, Martin - ANDREARCZYK, Vincent - MÜLLER, Henning. Breast histopathology with high-performance computing and deep learning. In Computing and informatics, 2020, vol. 39, no. 4, p. 780-807. (2019: 0.496 - IF, Q4 - JCR, 0.217 - SJR, Q3 - SJR, karentované - CCC). (2020 - Current Contents). ISSN 1335-9150. Dostupné na: https://doi.org/10.31577/CAI_2020_4_780 Typ: ADDA
Citácie:
[1.2] CHIKURTEV, Denis - YOVCHEV, Kaloyan. Marker-based automatic dataset collection for robotic vision system. In Mechanisms and Machine Science. ISSN 22110984, 2021-01-01, 102, pp. 145-153. Dostupné na: https://doi.org/10.1007/978-3-030-75259-0_16, Registrované v: SCOPUS
[1.2] LI, Weizhe - MIKAILOV, Mike - CHEN, Weijie. Scaling the Inference of Digital Pathology Deep Learning Models using CPU-based High-Performance Computing. In IEEE Transactions on Artificial Intelligence, 2023-01-01, pp. Dostupné na: https://doi.org/10.1109/TAI.2023.3246032, Registrované v: SCOPUS
[2.1] KRANZLMUELLER, Dieter - HOEB, Maximilian. PREFACE TO THE SPECIAL ISSUE ON PROVIDING COMPUTING SOLUTIONS FOR EXASCALE CHALLENGES. In COMPUTING AND INFORMATICS. ISSN 1335-9150, 2020, vol. 39, no. 4, pp. 617-621. Dostupné na: https://doi.org/10.31577/cai_2020_4_617, Registrované v: WOS
MEIZNER, Jan** - NOWAKOWSKI, Piotr - KAPALA, Jan - WOJTOWICZ, Patryk - BUBAK, Marian - TRAN, Viet - BOBÁK, Martin - HÖB, Maximilian. Towards exascale computing architecture and its prototype: services and infrastructure. In Computing and informatics, 2020, vol. 39, no. 4, p. 860-880. (2019: 0.496 - IF, Q4 - JCR, 0.217 - SJR, Q3 - SJR, karentované - CCC). (2020 - Current Contents). ISSN 1335-9150. Dostupné na: https://doi.org/10.31577/CAI_2020_4_860 Typ: ADDA
Citácie:
[1.1] SHAO, Mingtian - LU, Kai - CHI, Wanqing - WANG, Ruibo - DAI, Yiqin - ZHANG, Wenzhe. TEES: topology-aware execution environment service for fast and agile application deployment in HPC. In FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2022, vol., no., pp. ISSN 2095-9184. Dostupné na: https://doi.org/10.1631/FITEE.2100284, Registrované v: WOS
[2.1] KRANZLMUELLER, Dieter - HOEB, Maximilian. PREFACE TO THE SPECIAL ISSUE ON PROVIDING COMPUTING SOLUTIONS FOR EXASCALE CHALLENGES. In COMPUTING AND INFORMATICS. ISSN 1335-9150, 2020, vol. 39, no. 4, pp. 617-621. Dostupné na: https://doi.org/10.31577/cai_2020_4_617, Registrované v: WOS
HLUCHÝ, Ladislav - HABALA, Ondrej - BOBÁK, Martin - TRAN, Viet - IVICA, Lukáš. Serverless computing and FaaS for airport meteorology. In 2022 Cybernetics & Informatics (K&I) : 31st International Conference. - Danvers, US : IEEE, 2022, p. 1-6. ISBN 978-1-6654-8775-7. Dostupné na: https://doi.org/10.1109/KI55792.2022.9925943 (2022 Cybernetics & Informatics (K&I) : 31st International Conference) Typ: ADMB
ŽÁK, Adam - BOBÁK, Martin**. Modular e-commerce data warehouse using microservices. In 2022 Cybernetics & Informatics (K&I) : 31st International Conference. - Danvers, US : IEEE, 2022, p. 1-6. ISBN 978-1-6654-8775-7. Dostupné na: https://doi.org/10.1109/KI55792.2022.9925962 (2022 Cybernetics & Informatics (K&I) : 31st International Conference) Typ: ADMB
Citácie:
[1.2] GOZALI, Alfian Akbar - ROMADHONY, Ade - SUBAVEERAPANDIYAN, A. One Data Indonesia Policy Adoption for Telkom University Data Warehouse Framework. In Register: Jurnal Ilmiah Teknologi Sistem Informasi, 2023-07-01, 9, 2, pp. 160-176. ISSN 25030477. Dostupné na: https://doi.org/10.26594/register.v9i2.3473, Registrované v: SCOPUS
CALATRAVA, Amanda** - ASOREY, Hernán - ASTALOŠ, Ján - AZEVEDO, Alberto - BENINCASA, Francesco - BLANQUER, Ignacio - BOBÁK, Martin - BRASILEIRO, Francisco - CODÓ, Laia - DEL CAÑO, Laura - ESTEBAN, Borja - FERRET, Meritxell - HANDL, Josef - KERZENMACHER, Tobias - KOZLOV, Valentin - KŘENEK, Aleš - MARTINS, Ricardo - PAVESIO, Manuel - RUBIO-MONTERO, Antonio Juan - SÁNCHEZ-FERRERO, Juan. A survey of the European Open Science Cloud services for expanding the capacity and capabilities of multidisciplinary scientific applications. In Computer Science Review, 2023, vol. 49, art. no. 100571. (2022: 12.9 - IF, Q1 - JCR, 2.685 - SJR, Q1 - SJR). ISSN 1574-0137. Dostupné na: https://doi.org/10.1016/j.cosrev.2023.100571 Typ: ADCA
Citácie:
[1.2] IATSYSHYN, Anna V. - MOZOLEVYCH, Grygorii Ya - SUKHIKH, Alisa S. - YATSYSHYN, Teodoziia M. - BUROV, Oleksandr Yu - IATSYSHYN, Andrii V. Level and scope of involvement of Ukrainian higher education and research institutions in e-infrastructures: Survey results. In CEUR Workshop Proceedings, 2023-01-01, 3553, pp. 23-42. ISSN 16130073., Registrované v: SCOPUS
[3.1] DALLO, I. - HERRMANN, M. - SUPINO, M. - BAYONA, J.A. - KHAWAJA, A.M. - SCAINi, C.The need for open, transdisciplinary, and ethical science in seismology. In Seismica. 2023, vol. 2, no. 2, pp. 1-9. doi: 10.26443/seismica.v2i2.470.
HLUCHÝ, Ladislav - HABALA, Ondrej - BOBÁK, Martin - ŠELENG, Martin. Transformation of a legacy airport meteorology application into a serverless cloud application. In IEEE 17th international symposium on applied computational intelligence and informatics (SACI 2023) : Proceedings. - Danvers, US : IEEE, 2023, p. 637-642. ISBN 979-8-3503-2109-8. Dostupné na: https://doi.org/10.1109/SACI58269.2023.10158660 (IEEE 17th international symposium on applied computational intelligence and informatics) Typ: ADMB
STAŇO, Michal - HLUCHÝ, Ladislav - BOBÁK, Martin - KRAMMER, Peter - TRAN, Viet. Federated learning methods for analytics of big and sensitive distributed data and survey. In IEEE 17th international symposium on applied computational intelligence and informatics (SACI 2023) : Proceedings. - Danvers, US : IEEE, 2023, p. 705-710. ISBN 979-8-3503-2109-8. Dostupné na: https://doi.org/10.1109/SACI58269.2023.10158622 (IEEE 17th international symposium on applied computational intelligence and informatics) Typ: ADMB
Citácie:
[3.1] SHERPA, L. - BANERJI, N. Federated learning-hope and scope. In IgMin Research. 2023, vol. 1, no. 1, pp. 22-24. doi: 10.61927/igmin112.
VIDIEČAN, Matúš - BOBÁK, Martin. Container-based video streaming service. In IEEE Joint 22nd International Symposium on Computational Intelligence and Informatics and 8th International Conference on Recent Achievements in Mechatronics, Automation, Computer Science and Robotics, CINTI-MACRo 2022 - Proceedings. - Budapest, Hungary : IEEE, 2022, p. 191-196. ISBN 979-8-3503-9882-3. Dostupné na: https://doi.org/10.1109/CINTI-MACRo57952.2022.10029489 (CINTI-MACRo 2022 : IEEE Joint 22nd International Symposium on Computational Intelligence and Informatics and 8th International Conference on Recent Achievements in Mechatronics, Automation, Computer Science and Robotics) Typ: ADMB
Citácie:
[3.1] MONGI, A. Modeling video streaming quality of experience using taguchi and fuzzy logic methods. In Journal of ICT Systems 2023, vol. 1, no. 1, pp. 32-43. doi: 10.56279/jicts.v1i1.22.
[3.1] WU, M.S. - PHAN, T.T. - KAO, P.K. - LI, C.Y. Congestion-avoidance adaptation for edge-based uav video frame delivery. In GLOBECOM 2023-2023 IEEE Global Communications Conference. 2023, pp. 4546-4551). doi: 10.1109/GLOBECOM54140.2023.10437014.
HABALA, Ondrej** - BOBÁK, Martin - ŠELENG, Martin - TRAN, Viet - HLUCHÝ, Ladislav. Architecture of a Function-as-a-Service Application. In Computing and informatics, 2023, vol. 42, no. 4, p. 878-895. (2022: 0.7 - IF, Q4 - JCR, 0.196 - SJR, Q4 - SJR). ISSN 1335-9150. Dostupné na: https://doi.org/10.31577/cai_2023_4_878 Typ: ADDA
HABALA, Ondrej - BOBÁK, Martin - ŠELENG, Martin - TRAN, Viet - HLUCHÝ, Ladislav - IVICA, Lukáš. Architecture of a serverless cloud application. In IEEE 23rd International Symposium on Computational Intelligence and Informatics (CINTI 2023) : Proceedings. - Budapest, Hungary : IEEE, 2023, p. 105-110. ISBN 979-8-3503-4294-9. Dostupné na: https://doi.org/10.1109/CINTI59972.2023.10382015 (CINTI 2023 : IEEE 23rd International Symposium on Computational Intelligence and Informatics) Typ: ADMB
VLČEK, Jozef - BOBÁK, Martin. Synchronized music streaming driven by microservice architecture. In IEEE 23rd International Symposium on Computational Intelligence and Informatics (CINTI 2023) : Proceedings. - Budapest, Hungary : IEEE, 2023, p. 93-98. ISBN 979-8-3503-4294-9. Dostupné na: https://doi.org/10.1109/CINTI59972.2023.10382032 (CINTI 2023 : IEEE 23rd International Symposium on Computational Intelligence and Informatics) Typ: ADMB

Ohlasy:

1.1	Citácie v zahraničných publikáciách registrované v citačných indexoch Web of Science Core Collection
1.2	Citácie v zahraničných publikáciách registrované v databáze SCOPUS
2.1	Citácie v domácich publikáciách registrované v citačných indexoch Web of Science Core Collection
2.2	Citácie v domácich publikáciách registrované v databáze SCOPUS
*3	Citácie v zahraničných publikáciách neregistrované v citačných indexoch
3.1	Citácie v zahraničných publikáciách neregistrované v citačných indexoch
3.2	Citácie v zahraničných publikáciách registrované v iných vedeckých citačných databázach, ako je Web of Science Core Collection a Scopus
*4	Citácie v domácich publikáciách neregistrované v citačných indexoch
4.1	Citácie v domácich publikáciách neregistrované v citačných indexoch
4.2	Citácie v domácich publikáciách registrované v iných vedeckých citačných databázach, ako je Web of Science Core Collection a Scopus
5	Recenzie v zahraničných publikáciách
6	Recenzie v domácich publikáciách
7	Umelecké kritiky zahraničné
8	Umelecké kritiky domáce
9	Reprodukcie umeleckých diel autora v zahraničnej publikácii alebo médiu
*9	Citácie v zahraničných publikáciách registrované v iných vedeckých citačných databázach, ako je Web of Science Core Collection a Scopus
10	Reprodukcie umeleckých diel autora domácej publikácii alebo médiu
*10	Citácie v domácich publikáciách registrované v iných vedeckých citačných databázach, ako je Web of Science Core Collection a Scopus