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When Deep Learning May Not Be The Right Tool For Traffic Classification.

, , and . IM, page 884-889. IEEE, (2021)

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Scylla: A language for virtual network functions orchestration in enterprise WLANs., , , and . NOMS, page 401-409. IEEE, (2016)Autonomic Quality of Experience management of multimedia networks., and . NOMS, page 872-879. IEEE, (2012)Assessing the value of containers for NFVs: A detailed network performance study., , , , and . CNSM, page 1-7. IEEE Computer Society, (2017)Decentralized broadcast-based scheduling for dense multi-hop TSCH networks., and . MobiArch, page 19-24. ACM, (2016)A General Approach for Traffic Classification in Wireless Networks Using Deep Learning., , and . IEEE Trans. Netw. Serv. Manag., 19 (4): 5044-5063 (December 2022)Neurosciences and 6G: Lessons from and Needs of Communicative Brains., , , , , , , , , and 2 other author(s). CoRR, (2020)Airtime-Based Resource Allocation Modeling for Network Slicing in IEEE 802.11 RANs., , , , , , and . IEEE Commun. Lett., 24 (5): 1077-1080 (2020)Experiences from building an outdoor testbed for community wireless networks., , and . IM, page 898-901. IEEE, (2015)Towards a Fluid Cloud: An Extension of the Cloud into the Local Network., and . AIMS, volume 9122 of Lecture Notes in Computer Science, page 61-65. Springer, (2015)A Management Framework for Automating Network Experiments and User Behaviour Emulation on Large Scale Testbed Facilities., , , and . ServiceWave, volume 6481 of Lecture Notes in Computer Science, page 209-210. Springer, (2010)