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eNauka >  Results >  XGBoost Tuned by Hybridized SCA Metaheuristics for Intrusion Detection in Healthcare 4.0 IoT Systems
Title: XGBoost Tuned by Hybridized SCA Metaheuristics for Intrusion Detection in Healthcare 4.0 IoT Systems
Authors: M. Zivkovic  ; L. Jovanovic ; N. Bacanin  ; A. Petrovic  ; N. Savanovic  ; M. Dobrojevic  
Issue Date: 2024
Publication: AIS Algorithms for Intelligent Systems: ICEAI 2023: Evolutionary Artificial Intelligence
Publisher: Springer, Singapore
Type: Book parts
ISBN: 978-981-99-8438-1 Search Idenfier
Collation: str. 1-16
DOI: 10.1007/978-981-99-8438-1_1
URI: https://link.springer.com/chapter/10.1007/978-981-99-8438-1_1
http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/3/9801
https://enauka.gov.rs/handle/123456789/900472
URL: https://link.springer.com/chapter/10.1007/978-981-99-8438-1_1
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