Publications
doc. Ing. Ladislav Hluchý, CSc.
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- BABIČ, Matej - ŠTER, Branko - HLUCHÝ, Ladislav - BAIAMONTE, Giuliana - CALI, Michele**. Modeling parking occupancy using algorithm of 3D visibility network. In IEEE Access, 2025, vol. 13, p. 84424-84434. (2024: 3.6 - IF, Q2 - JCR, 0.849 - SJR, Q1 - SJR). ISSN 2169-3536. Dostupné na: https://doi.org/10.1109/ACCESS.2025.3562796 Type: ADCA
- HABALA, Ondrej - ŠELENG, Martin - HABALA, Michal - STUHL, Ľubor - STAŇO, Michal - HLUCHÝ, Ladislav. Scalable cloud application deployment service for versatile cloud service deployment and configuration. In Computing and informatics, 2024, vol. 43, no. 6, p. 1416-1431. (2023: 0.7 - IF, Q4 - JCR, 0.258 - SJR, Q3 - SJR). ISSN 1335-9150. Dostupné na: https://doi.org/10.31577/cai_2024_6_1416 Type: ADDA
- HLAVAČKA, Jakub - BOBÁK, Martin** - HLUCHÝ, Ladislav. Big data deduplication in data lake. In Acta Polytechnica Hungarica : journal of applied sciences at Budapest Tech Hungary, 2024, vol. 21, no. 11, p. 307-328. (2023: 1.4 - IF, Q2 - JCR, 0.368 - SJR, Q2 - SJR). ISSN 1785-8860. Dostupné na: https://doi.org/10.12700/APH.21.11.2024.11.17 Type: ADMA
- KENYERES, Martin** - BUDINSKÁ, Ivana - HLUCHÝ, Ladislav - POGGI, Agostino. Modern trends in multi-agent systems. In Future internet, 2024, vol. 16, no. 2, art. no. 54. (2023: 2.8 - IF, Q2 - JCR, 0.808 - SJR, Q2 - SJR). ISSN 1999-5903. Dostupné na: https://doi.org/10.3390/fi16020054 Type: ADMA
- KRAMMER, Peter - HABALA, Ondrej - HLUCHÝ, Ladislav. Anomaly detection method using statistical distribution identification. In INFORMATICS 2024 : Proceedings. 2024 IEEE 17th International Scientific Conference on Informatics. - Danvers : IEEE, 2024, p. 183-189. ISBN 979-8-3503-8767-4. Dostupné na: https://doi.org/10.1109/Informatics62280.2024.10900759 (INFORMATICS 2024 : 2024 IEEE 17th International Scientific Conference on Informatics) Type: ADMB
- KRAMMER, Peter - HABALA, Ondrej - STAŇO, Michal - HLUCHÝ, Ladislav. Fine-tuning the high-voltage tower pollution model using distribution identification. In SISY 2024 - IEEE 22nd International Symposium on Intelligent Systems and Informatics : Proceedings, p. 53-58. Dostupné na: https://doi.org/10.1109/SISY62279.2024.10737530 (SISY 2024 : IEEE 22nd International Symposium on Intelligent Systems and Informatics) Type: ADMB
- PAJOROVÁ, Eva** - KRAMMER, Peter - HLUCHÝ, Ladislav. Using hyperspectral images and lidar data to create models for the classification and CAVE visualization tree species. In Journal of Electrical Systems, 2024, vol. 20, no. 4s, p. 652-658. ISSN 1112-5209. Dostupné na: https://doi.org/10.52783/jes.2082 Type: ADEB
Citation, reviews:
1.1 | Citations in foreign publications registered in citation indexes Web of Science Core Collection |
1.2 | Citations in foreign publications registered in Scopus |
2.1 | Citations in domestic publications registered in citation indexes Web of Science Core Collection |
2.2 | Citations in domestic publications registered in Scopus |
*3 | Citations in foreign publications not registered in citation indexes |
3.1 | Citations in foreign publications not registered in citation indexes |
3.2 | Citations in foreign publications registered in scientific citation databases other than Web of Science Core Collection or Scopus |
*4 | Citations in domestic publications not registered in citation indexes |
4.1 | Citations in domestic publications not registered in citation indexes |
4.2 | Citations in domestic publications registered in scientific citation databases other than Web of Science Core Collection or Scopus |
5 | Reviews in foreign publications |
6 | Reviews in domestic publications |
7 | Art critiques – foreign |
8 | Art critiques – domestic |
9 | Reproductions of artistic works of the author in foreign publications or media |
*9 | Citations in foreign publications registered in scientific citation databases other than Web of Science Core Collection or Scopus |
10 | Reproductions of artistic works of the author in domestic publications or media |
*10 | Citations in domestic publications registered in scientific citation databases other than Web of Science Core Collection or Scopus |