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Edge Computing for Smart Health: Context-Aware Approaches, Opportunities, and Challenges., , , , and . IEEE Netw., 33 (3): 196-203 (2019)Compress or Interfere?, , , , , and . SECON, page 1-6. IEEE, (2019)DRL-APNS: A Deep Reinforcement Learning-Powered Framework for Accurate Predictive Network Slicing Allocation., , , and . CCNC, page 71-76. IEEE, (2024)EdgeHealth: An Energy-Efficient Edge-based Remote mHealth Monitoring System., , , and . WCNC, page 1-7. IEEE, (2019)RLENS: RL-based Energy-Efficient Network Selection Framework for IoMT., , , and . WTS, page 1-6. IEEE, (2022)Federated Learning for UAV Swarms Under Class Imbalance and Power Consumption Constraints., , , , , and . GLOBECOM, page 1-6. IEEE, (2021)A Novel Multivariate and Accurate Detection Scheme for Electricity Theft Attacks in Smart Grids., , , and . ICNC, page 558-562. IEEE, (2023)Energy-Efficient Active Federated Learning on Non-IID Data., , and . MWSCAS, page 1-4. IEEE, (2022)Performance Evaluation of Hyperledger Fabric., , , , , and . ICIoT, page 608-613. IEEE, (2020)Concurrent association in heterogeneous networks with underlay D2D communication., , and . IWCMC, page 56-61. IEEE, (2017)