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Towards selecting optimal features for flow statistical based network traffic classification.

, , , and . APNOMS, page 479-482. IEEE, (2015)

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A Link Reliability-Aware Route Maintenance Mechanism for Mobile Ad Hoc Networks., , , , and . ICN, page 8. IEEE Computer Society, (2007)Operation optimization of a cryogenic NGL recovery unit using deep learning based surrogate modeling., , and . Comput. Chem. Eng., (2020)RCDS: A Ranking-Based Algorithm to Compute the CDS of the Ad Hoc Networks., , , and . NCM (1), page 591-596. IEEE Computer Society, (2008)Towards selecting optimal features for flow statistical based network traffic classification., , , and . APNOMS, page 479-482. IEEE, (2015)TCP Congestion Window Adaptation Through Contention Detection in Ad Hoc Networks., , , and . IEEE Trans. Vehicular Technology, 59 (9): 4578-4588 (2010)ECNet: Efficient Convolutional Networks for Side Scan Sonar Image Segmentation., , , , , , and . Sensors, 19 (9): 2009 (2019)Stochastic modeling suggests that noise reduces differentiation efficiency by inducing a heterogeneous drug response in glioma differentiation therapy., , , , , , and . BMC Systems Biology, (2016)Libri-adhoc40: A dataset collected from synchronized ad-hoc microphone arrays., , , , , , , , , and 2 other author(s). APSIPA ASC, page 1116-1120. IEEE, (2021)A comparison of handcrafted, parameterized, and learnable features for speech separation., , , and . APSIPA ASC, page 635-639. IEEE, (2021)TCP transmission rate control mechanism based on channel utilization and contention ratio in AD hoc networks., , , and . IEEE Communications Letters, 13 (4): 280-282 (2009)