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Effect of Spatial, Temporal and Network Features on Uplink and Downlink Throughput Prediction., , , , , , , , , and 2 other author(s). 5GWF, page 418-423. IEEE, (2021)One Step Further: Tunable and Explainable Throughput Prediction based on Large-scale Commercial Networks., , and . 5GWF, page 430-435. IEEE, (2021)Learning from large-scale commercial networks: challenges and knowledge extraction towards machine learning use cases., , and . 5G-MeMZ@SIGCOMM, page 14-19. ACM, (2021)When primary users whisper: A preliminary analysis on correlations of population-traffic dynamics., , , and . CrownCom, page 19-25. ICST / IEEE, (2014)The Story of QoS Prediction in Vehicular Communication: From Radio Environment Statistics to Network-Access Throughput Prediction., , , , , , , , , and 4 other author(s). CoRR, (2023)Reducing Latency: Improving Handover Procedure Using Machine Learning., , , , and . VTC Spring, page 1-5. IEEE, (2021)Deep Learning-Supported Kriging for Interpolation of High-Resolution Indoor REMs., , , , , , and . EuCNC/6G Summit, page 54-59. IEEE, (2023)Online Learning for Autonomous Management of Intent-based 6G Networks., , , , , and . CoRR, (2024)Cell- and Area-based ML Models: Unlocking High Precision Models for Radio Access Networks., , and . WCNC, page 1-6. IEEE, (2023)Contemporary Study of Radio Noise Characteristics in Diverse Environments., , and . IEEE Access, (2018)