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Deep Learning Based Speed Profiling for Mobile Users in 5G Cellular Networks.

, , , and . GLOBECOM, page 1-7. IEEE, (2019)

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Knothe-Rosenblatt transport for Unsupervised Domain Adaptation., , , and . CoRR, (2021)Multi-task Deep Learning based Environment and Mobility Detection for User Behavior Modeling., , , and . WiOpt, page 1-7. IEEE, (2019)Improving User Environment Detection Using Context-Aware Multi-Task Deep Learning in Mobile Networks., , , , and . IEEE Trans. Cogn. Commun. Netw., 8 (4): 1665-1676 (2022)Machine Learning to Infer User Behavior in 5G Autonomic Networks. (Apprentissage automatique pour déduire le comportement des utilisateurs dans les réseaux autonomes 5G).. University of Rennes 1, France, (2020)Mobile User Environment Detection using Deep Learning based Multi-Output Classification., , , , and . WMNC, page 16-23. IEEE, (2019)Deep Learning Based Speed Profiling for Mobile Users in 5G Cellular Networks., , , and . GLOBECOM, page 1-7. IEEE, (2019)Machine Learning with partially labeled Data for Indoor Outdoor Detection., , , and . CCNC, page 1-8. IEEE, (2019)Semi-Supervised Deep Learning-Based Methods for Indoor Outdoor Detection., , , and . ICC, page 1-7. IEEE, (2019)Deep Unsupervised Domain Adaptation for Time Series Classification: a Benchmark., , , , and . CoRR, (2023)