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Artificial Intelligence-Based Techniques for Emerging Heterogeneous Network: State of the Arts, Opportunities, and Challenges., , и . IEEE Access, (2015)Collaborative hierarchical caching for traffic offloading in heterogeneous networks., , , и . ICC, стр. 1-6. IEEE, (2017)Multi-band Digital Predistortion in IoT System with Co-prime Sampling Technique., , , , , и . WCSP, стр. 1-6. IEEE, (2019)Exploiting Mobile Social Networks From Temporal Perspective: A Survey., , , , , , и . IEEE Access, (2019)COCAM: a cooperative video edge caching and multicasting approach based on multi-agent deep reinforcement learning in multi-clouds environment., , , , , и . J. Cloud Comput., 12 (1): 123 (декабря 2023)DRL-D: Revenue-Aware Online Service Function Chain Deployment via Deep Reinforcement Learning., , , , , и . IEEE Trans. Netw. Serv. Manag., 19 (4): 4531-4545 (декабря 2022)Identification and Counting of Sugarcane Seedlings in the Field Using Improved Faster R-CNN., , , , , , и . Remote. Sens., 14 (22): 5846 (2022)Mobility-Aware Content Caching and User Association for Ultra-Dense Mobile Edge Computing Networks., , , , , , и . GLOBECOM, стр. 1-6. IEEE, (2020)Deep Reinforcement Learning for IoT Networks: Age of Information and Energy Cost Tradeoff., , , , и . GLOBECOM, стр. 1-6. IEEE, (2020)Blockchain-Based Approach for Securing Spectrum Trading in Multibeam Satellite Systems., , , , , и . CoRR, (2020)