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Exploiting Mobile Social Networks From Temporal Perspective: A Survey., , , , , , and . IEEE Access, (2019)Artificial Intelligence-Based Techniques for Emerging Heterogeneous Network: State of the Arts, Opportunities, and Challenges., , and . IEEE Access, (2015)Collaborative hierarchical caching for traffic offloading in heterogeneous networks., , , and . ICC, page 1-6. IEEE, (2017)Multi-band Digital Predistortion in IoT System with Co-prime Sampling Technique., , , , , and . WCSP, page 1-6. IEEE, (2019)DRL-D: Revenue-Aware Online Service Function Chain Deployment via Deep Reinforcement Learning., , , , , and . IEEE Trans. Netw. Serv. Manag., 19 (4): 4531-4545 (December 2022)Identification and Counting of Sugarcane Seedlings in the Field Using Improved Faster R-CNN., , , , , , and . Remote. Sens., 14 (22): 5846 (2022)COCAM: a cooperative video edge caching and multicasting approach based on multi-agent deep reinforcement learning in multi-clouds environment., , , , , and . J. Cloud Comput., 12 (1): 123 (December 2023)Maximizing spatial-temporal coverage in mobile crowd-sensing based on public transports with predictable trajectory., , , , and . Int. J. Distributed Sens. Networks, (2018)Blockchain-Based Approach for Securing Spectrum Trading in Multibeam Satellite Systems., , , , , and . CoRR, (2020)A General Matrix Factorization Framework for Recommender Systems in Multi-access Edge Computing Network., , , , , and . Mob. Networks Appl., 27 (4): 1629-1641 (2022)