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Surrogate modeling based cognitive decision engine for optimization of WLAN performance., , , , , , , , , and . Wireless Networks, 23 (8): 2347-2359 (2017)Analysis of large-scale experimental data from wireless networks., , , , , and . INFOCOM Workshops, page 535-540. IEEE, (2018)IEEE 802.11ah Restricted Access Window Surrogate Model for Real-Time Station Grouping., , , , , and . WOWMOM, page 14-22. IEEE Computer Society, (2018)Multi-objective surrogate modeling for real-time energy-efficient station grouping in IEEE 802.11ah., , , , , and . Pervasive Mob. Comput., (2019)Demo: efficient multi-objective optimization of network problems on wireless testbeds., , and . MobiHoc, page 419-420. ACM, (2014)Wireless handover performance in industrial environments: A case study., , , , , , and . ETFA, page 1-4. IEEE, (2016)Various Detection Techniques and Platforms for Monitoring Interference Condition in a Wireless Testbed., , , , , , and . FP7 FIRE/EULER, volume 7586 of Lecture Notes in Computer Science, page 43-60. Springer, (2012)Throughput optimization of wireless LANs by surrogate model based cognitive decision making., , , , , , , , , and . WCNC Workshops, page 188-193. IEEE, (2015)openwifi: a free and open-source IEEE802.11 SDR implementation on SoC., , , , and . VTC Spring, page 1-2. IEEE, (2020)Throughput optimization strategies for large-scale wireless LANs., , , , , , , , and . BMSB, page 1-6. IEEE, (2015)