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Tackling smart city security: deep learning approach utilizing feature selection and two-level cooperative framework optimized by adapted metaheuristics algorithm
| Title: | Tackling smart city security: deep learning approach utilizing feature selection and two-level cooperative framework optimized by adapted metaheuristics algorithm | Authors: | K. Kumpf; M. Cajic; V. Zeljkovic; M. Mravik |
Issue Date: | 2025 | Publication: | International Journal of Information Security | ISSN: | 1615-5270 International Journal of Information Security Search Idenfier |
Type: | Article | Collation: | vol. 24 br. 6 | DOI: | 10.1007/s10207-025-01137-6 | WoS-ID: | 001590079200001 | Scopus-ID: | 2-s2.0-105018668181 | URI: | https://enauka.gov.rs/handle/123456789/1003642 https://link.springer.com/article/10.1007/s10207-025-01137-6 http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/2/11621 |
Project: | Science Fund of the Republic of Serbia [7373, 7502] | M-category: | 21M21 |
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