Results

eNauka >  Results >  EvoPhySec: A Multi-Objective Evolutionary Framework for Adaptive Calibration of Physics-Informed Anomaly Detection in Smart City IoT Networks
Title: EvoPhySec: A Multi-Objective Evolutionary Framework for Adaptive Calibration of Physics-Informed Anomaly Detection in Smart City IoT Networks
Authors: D. Radovanović  ; N. Savanović  ; J. Janaćković; P. Kresoja  ; B. Papaz  
Issue Date: 2026
Publication: Big Data and Cognitive Computing
ISSN: 2504-2289 Big Data and Cognitive Computing (Switzerland) Search Idenfier
Type: Article
Collation: vol. 10 br. 9 str. 285-285
DOI: 10.3390/bdcc10090285
URI: http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/2/12161
https://doi.org/10.3390/bdcc10090285
https://enauka.gov.rs/handle/123456789/1049693
M-category: 
21M21

Altmetric
Dimensions
Unpaywall

Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.