Ahmad Shahnejat Bushehri, Ashkan Amirnia, Adel Belkhiri, Samira Keivanpour, Felipe Gohring de Magalhaes
and Gabriela Nicolescu
Article (2024)
Department: |
Department of Computer Engineering and Software Engineering Department of Mathematics and Industrial Engineering |
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PolyPublie URL: | https://publications.polymtl.ca/57765/ |
Journal Title: | IEEE Transactions on Green Communications and Networking (vol. 8, no. 1) |
Publisher: | IEEE |
DOI: | 10.1109/tgcn.2023.3335342 |
Official URL: | https://doi.org/10.1109/tgcn.2023.3335342 |
Date Deposited: | 28 Mar 2024 15:20 |
Last Modified: | 31 Jan 2025 15:26 |
Cite in APA 7: | Shahnejat Bushehri, A., Amirnia, A., Belkhiri, A., Keivanpour, S., Gohring de Magalhaes, F., & Nicolescu, G. (2024). Deep Learning-Driven Anomaly Detection for Green IoT Edge Networks. IEEE Transactions on Green Communications and Networking, 8(1), 498-513. https://doi.org/10.1109/tgcn.2023.3335342 |
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