Documents publiés en "2024"

Département de génie informatique et génie logiciel

Jamshidi, S., Amirnia, A., Nikanjam, A., & Khomh, F. (avril 2024). Enhancing Security and Energy Efficiency of Cyber-Physical Systems using Deep Reinforcement Learning [Communication écrite]. 15th International Conference on Ambient Systems, Networks and Technologies Networks (ANT 2024) / The 7th International Conference on Emerging Data and Industry 4.0 (EDI40 2024), Hasselt, Belgium. Publié dans Procedia Computer Science, 238. Lien externe

Shahnejat Bushehri, A., Amirnia, A., Belkhiri, A., Keivanpour, S., De Magalhaes, F. G., & Nicolescu, G. (2024). Deep Learning-Driven Anomaly Detection for Green IoT Edge Networks. IEEE Transactions on Green Communications and Networking, 8(1), 498-513. Lien externe

Département de mathématiques et de génie industriel

Amirnia, A., & Keivanpour, S. (septembre 2024). AI-Driven EoL Aircraft Treatment: A Research Perspective [Communication écrite]. 2024 Intelligent Systems Conference (IntelliSys 2024), Amsterdam, Netherlands. Lien externe

Amirnia, A., & Keivanpour, S. (2024). Real-time sustainable cobotic disassembly planning using fuzzy reinforcement learning. International Journal of Production Research, 1-24. Lien externe

Amirnia, A., Ghorbani, E., & Keivanpour, S. (juillet 2024). Real-Time Video Processing in Fuzzy Posture-Based Ergonomic Analysis in a Disassembly Cell [Communication écrite]. 6th International Conference on Intelligent and Fuzzy Systems (INFUS 2024), Canakkale, Turkey. Lien externe

Shahnejat Bushehri, A., Amirnia, A., Belkhiri, A., Keivanpour, S., De Magalhaes, F. G., & Nicolescu, G. (2024). Deep Learning-Driven Anomaly Detection for Green IoT Edge Networks. IEEE Transactions on Green Communications and Networking, 8(1), 498-513. Lien externe