Addressing smart city security: machine and deep learning methodology combining feature selection and two-tier cooperative framework tuned by metaheuristics

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Title:	Addressing smart city security: machine and deep learning methodology combining feature selection and two-tier cooperative framework tuned by metaheuristics
Authors:	M. Zivkovic ; L. Jovanovic ; V. Jocovic ; B. Nikolic ; V. Zeljkovic; M. Abdel-Salam; M. Mravik ; S. Muthusamy; N. Bacanin
Issue Date:	2025
Publication:	Cluster Computing
ISSN:	1573-7543 Cluster Computing Search Idenfier
Type:	Article
Collation:	vol. 28 br. 11 str. 1-55
DOI:	10.1007/s10586-025-05378-x
WoS-ID:	001569396000021
Scopus-ID:	2-s2.0-105015468707
URI:	http://zaposleni.etf.bg.ac.rs/rest/sciNaucniRezultati/oai/record/2/710041 https://enauka.gov.rs/handle/123456789/998985 https://link.springer.com/article/10.1007/s10586-025-05378-x?utm_source=rct_congratemailt&utm_medium=email&utm_campaign=nonoa_20250911&utm_content=10.1007/s10586-025-05378-x http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/2/11584 https://link.springer.com/article/10.1007/s10586-025-05378-x
URL:	https://link.springer.com/article/10.1007/s10586-025-05378-x
Project:	Science Fund of the Republic of Serbia [7373, 7502] Science Fund of the Republic of Serbia
Note:	Tekst je dostupan ali nije otključan
M-category:	21M21

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