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Application of dynamic zoning scheme in Guangdong power grid., , , , , , and . ISGT Europe, page 1-5. IEEE, (2013)Integration of QoS Metrics, Rules and Semantic Uplift for Advanced IPTV Monitoring., , , , , , , , , and . J. Netw. Syst. Manag., 23 (3): 673-708 (2015)Towards a framework to support novice users in understanding and monitoring of Home Area Networks., , , and . PerCom Workshops, page 82-87. IEEE Computer Society, (2012)Multi-Agent Deep Reinforcement Learning Based Resource Allocation for Ultra-Reliable Low-Latency Internet of Controllable Things., , and . IEEE Trans. Wirel. Commun., 22 (8): 5414-5430 (August 2023)Deep Reinforcement Learning Enabled Energy-Efficient Resource Allocation in Energy Harvesting Aided V2X Communication., , , , and . PIMRC, page 313-319. IEEE, (2022)An ontology-driven approach to support wireless network monitoring for home area networks., , , , and . CNSM, page 1-7. IEEE, (2011)A framework to leverage domain expertise to support novice users in the visual exploration of Home Area Networks., , and . NOMS, page 550-553. IEEE, (2012)A Novel Approach to Support the Visual Exploration and Management of Heterogeneous Home Area Network Devices and Services., and . AIMS, volume 6734 of Lecture Notes in Computer Science, page 164-168. Springer, (2011)Secure federated monitoring of heterogeneous networks., , , and . IEEE Commun. Mag., 51 (11): 63-71 (2013)Towards Energy Efficient Resource Allocation: When Green Mobile Edge Computing Meets Multi-Agent Deep Reinforcement Learning., , and . ICC, page 4056-4061. IEEE, (2022)