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Amirnia, A., & Keivanpour, S. (2024). Real-time sustainable cobotic disassembly planning using fuzzy reinforcement learning. International Journal of Production Research, 1-24. External link
Amirnia, A., & Keivanpour, S. (2024, September). AI-Driven EoL Aircraft Treatment: A Research Perspective [Paper]. 2024 Intelligent Systems Conference (IntelliSys 2024), Amsterdam, Netherlands. External link
Amirnia, A., Ghorbani, E., & Keivanpour, S. (2024, July). Real-Time Video Processing in Fuzzy Posture-Based Ergonomic Analysis in a Disassembly Cell [Paper]. 6th International Conference on Intelligent and Fuzzy Systems (INFUS 2024), Canakkale, Turkey. External link
Amirnia, A., & Keivanpour, S. (2023). A context-aware real-time human-robot collaborating reinforcement learning-based disassembly planning model under uncertainty. International Journal of Production Research, 22 pages. External link
Jamshidi, S., Amirnia, A., Nikanjam, A., & Khomh, F. (2024, April). Enhancing Security and Energy Efficiency of Cyber-Physical Systems using Deep Reinforcement Learning [Paper]. 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. Published in Procedia Computer Science, 238. External link
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. External link
