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Mobile User Environment Detection using Deep Learning based Multi-Output Classification.

, , , , and . WMNC, page 16-23. IEEE, (2019)

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Proportional Resource Partitioning Over Shared Wireless Links., , , and . VTC Fall, page 1747-1751. IEEE, (2007)Normalized Rate Guarantee Scheduler for High Speed Downlink Packet Access., and . GLOBECOM, page 576-580. IEEE, (2007)Négociation multi-agent « un-à-plusieurs » et mécanismes de coordination pour la gestion de la satisfaction des utilisateurs d'un service (présentation courte)., , , and . JFSMA, page 95-104. Cépaduès, (2018)Multi-domain non-cooperative VNF-FG embedding: A deep reinforcement learning approach., , , and . INFOCOM Workshops, page 886-891. IEEE, (2019)Quality of experience estimation for adaptive HTTP/TCP video streaming using H.264/AVC., , and . CCNC, page 127-131. IEEE, (2012)WDAqua-core0: A Question Answering Component for the Research Community., , and . SemWebEval@ESWC, volume 769 of Communications in Computer and Information Science, page 84-89. Springer, (2017)QAAV: Quality of Service-Aware Adaptive Allocation of Virtual Network Functions in Wireless Network., , , and . ICC, page 1-6. IEEE, (2018)Multi-task Deep Learning based Environment and Mobility Detection for User Behavior Modeling., , , and . WiOpt, page 1-7. IEEE, (2019)A Scalable Approach for Computing Semantic Relatedness using Semantic Web Data., , , and . WIMS, page 20:1-20:9. ACM, (2016)Cognitive radio for vehicular ad hoc networks (CR-VANETs): approaches and challenges., , and . EURASIP J. Wireless Comm. and Networking, (2014)