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Drive Safe: Cognitive-Behavioral Mining for Intelligent Transportation Cyber-Physical System.

, , , , , and . CoRR, (2020)

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Elastic O-RAN Slicing for Industrial Monitoring and Control: A Distributed Matching Game and Deep Reinforcement Learning Approach., , , , and . IEEE Trans. Veh. Technol., 71 (10): 10808-10822 (2022)Exploiting NOMA for Radio Resource Efficient Traffic Steering Use-case in O-RAN., , , , and . GLOBECOM, page 5771-5776. IEEE, (2022)Design and Resource Allocation of NOMA-based Transmission Scheme for Industrial Collaborative AR., , , , , and . GLOBECOM (Workshops), page 1604-1609. IEEE, (2022)Healthcare IoT-Based Affective State Mining Using a Deep Convolutional Neural Network., , , , and . IEEE Access, (2019)When Edge Computing Meets Microgrid: A Deep Reinforcement Learning Approach., , , and . IEEE Internet Things J., 6 (5): 7360-7374 (2019)Data Freshness and Energy-Efficient UAV Navigation Optimization: A Deep Reinforcement Learning Approach., , , , and . IEEE Trans. Intell. Transp. Syst., 22 (9): 5994-6006 (2021)Risk-Aware Energy Scheduling for Edge Computing with Microgrid: A Multi-Agent Deep Reinforcement Learning Approach., , , , , and . CoRR, (2020)Resource Allocation for Ultra-Reliable and Enhanced Mobile Broadband IoT Applications in Fog Network., , , , , and . IEEE Trans. Commun., 67 (1): 489-502 (2019)A Multi-Agent System toward the Green Edge Computing with Microgrid., , , , , and . GLOBECOM, page 1-7. IEEE, (2019)Risk-Aware Energy Scheduling for Edge Computing With Microgrid: A Multi-Agent Deep Reinforcement Learning Approach., , , , , and . IEEE Trans. Netw. Serv. Manag., 18 (3): 3476-3497 (2021)