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REQIBA: Regression and Deep Q-Learning for Intelligent UAV Cellular User to Base Station Association., , , , and . CoRR, (2020)Radio Access Technology characterisation through object detection., , , and . Comput. Commun., (2021)Gated Recurrent Unit Neural Networks for Automatic Modulation Classification With Resource-Constrained End-Devices., , , and . IEEE Access, (2020)Adaptive Height Optimization for Cellular-Connected UAVs: A Deep Reinforcement Learning Approach., , , , and . IEEE Access, (2023)Radio Access Technology Characterisation Through Object Detection., , , and . CoRR, (2020)Towards low-complexity wireless technology classification across multiple environments., , , , , , and . Ad Hoc Networks, (2019)Experimental Evaluation of a UAV User QoS from a Two-Tier 3.6GHz Spectrum Network., , , , , , and . CoRR, (2020)Intelligent Base Station Association for UAV Cellular Users: A Supervised Learning Approach., , , and . 5G World Forum, page 383-388. IEEE, (2020)Experimental Evaluation of a UAV User QoS from a Two-Tier 3.6GHz Spectrum Network., , , , , , and . ICC Workshops, page 1-6. IEEE, (2021)Adaptive Height Optimisation for Cellular-Connected UAVs using Reinforcement Learning., , , and . CoRR, (2020)