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An Efficient Anomaly Detection System in IoT Edge Using Chi–Square and Improved Particle Swarm Optimization Feature Selection with Ensemble Classifiers Cover

An Efficient Anomaly Detection System in IoT Edge Using Chi–Square and Improved Particle Swarm Optimization Feature Selection with Ensemble Classifiers

Open Access
|Sep 2026
DOI: https://doi.org/10.61822/amcs-2026-0031 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
Language: English
Page range: 475 - 492
Submitted on: Jun 10, 2025
Accepted on: Jan 8, 2026
Published on: Sep 19, 2026
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2026 Jacob Manokaran, Gurusamy Vairavel, Arunkumar Gopu, Kamepalli S.L. Prasanna, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.