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Deep Reinforcement Learning-based Resource Allocation for 5G Machine-type Communication in Active Distribution Networks with Time-varying Interference., , , , , , и . Mob. Networks Appl., 27 (6): 2264-2279 (декабря 2022)Working condition recognition of fused magnesium furnace based on stochastic configuration networks and reinforcement learning., , , , и . Ind. Artif. Intell., (2024)Optimal Resource Allocation of 5G Machine-Type Communications for Situation Awareness in Active Distribution Networks., , , , , и . IEEE Syst. J., 16 (3): 4187-4197 (2022)Detecting human-object interactions in videos by modeling the trajectory of objects and human skeleton., , , , и . Neurocomputing, (2022)Reinforcement Learning Based Robust Volt/Var Control in Active Distribution Networks With Imprecisely Known Delay., , , , , и . CoRR, (2024)An Energy Efficient Uplink Scheduling and Resource Allocation for M2M Communications in SC-FDMA Based LTE-A Networks., , , , , и . 5GWN, том 278 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 124-140. Springer, (2019)Viewport Prediction for Volumetric Video Streaming by Exploring Video Saliency and Trajectory Information., , , , , , и . CoRR, (2023)Fingerprint and Assistant Nodes Based Wi-Fi Localization in Complex Indoor Environment., , , , и . IEEE Access, (2016)Adaptive Panoramic Video Multicast Streaming with Limited FoV Feedback., , , , и . Complex., (2020)Joint MCS and power allocation for SVC video multicast over heterogeneous cellular networks., , , , и . Comput. Commun., (2016)