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Collaborative Data Scheduling for Vehicular Edge Computing via Deep Reinforcement Learning., , , и . IEEE Internet Things J., 7 (10): 9637-9650 (2020)Digital Twin Empowered Heterogeneous Network Selection in Vehicular Networks With Knowledge Transfer., , , , , , и . IEEE Trans. Veh. Technol., 71 (11): 12154-12168 (2022)An Efficient and Reliable Asynchronous Federated Learning Scheme for Smart Public Transportation., , , , , и . IEEE Trans. Veh. Technol., 72 (5): 6584-6598 (мая 2023)AMIS-MU: Edge Computing Based Adaptive Video Streaming for Multiple Mobile Users., , , , , и . IEEE Trans. Mob. Comput., 23 (1): 117-134 (января 2024)Software-Defined Vehicular Networks: Architecture, Algorithms, and Applications: Part 1., , , , , , , и . IEEE Commun. Mag., 55 (7): 78-79 (2017)A Survey of Blockchain and Intelligent Networking for the Metaverse., , , , , и . IEEE Internet Things J., 10 (4): 3587-3610 (февраля 2023)Secure and Efficient Federated Learning for Smart Grid With Edge-Cloud Collaboration., , , , , , и . IEEE Trans. Ind. Informatics, 18 (2): 1333-1344 (2022)APDP: Attack-Proof Personalized Differential Privacy Model for a Smart Home., , , , , , и . IEEE Access, (2019)Dimensioning the packet loss burstiness over wireless channels: a novel metric, its analysis and application., , , и . Wirel. Commun. Mob. Comput., 14 (12): 1160-1175 (2014)Hybrid Autonomous Driving Guidance Strategy Combining Deep Reinforcement Learning and Expert System., , , , и . IEEE Trans. Intell. Transp. Syst., 23 (8): 11273-11286 (2022)