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A Machine Learning Approach to Meter Placement for Power Quality Estimation in Smart Grid.

, , , and . IEEE Trans. Smart Grid, 7 (3): 1552-1561 (2016)

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Compressive Sensing Based Channel Estimation for Massive MIMO Communication Systems., , , , , and . Wireless Communications and Mobile Computing, (2019)On mitigating sampling-induced accuracy loss in traffic anomaly detection systems., , , , , , and . Computer Communication Review, 40 (3): 4-16 (2010)On enhancing the WEP security against brute-force and compromised keys., , and . CISIM, page 250-254. IEEE, (2010)A Maximum-Entropy based fast estimation of power quality for smart microgrid., , and . SmartGridComm, page 354-359. IEEE, (2013)A Machine Learning Approach to Meter Placement for Power Quality Estimation in Smart Grid., , , and . IEEE Trans. Smart Grid, 7 (3): 1552-1561 (2016)What Is the Impact of P2P Traffic on Anomaly Detection?, , , and . RAID, volume 6307 of Lecture Notes in Computer Science, page 1-17. Springer, (2010)Intelligent meter placement for power quality estimation in smart grid., , , and . SmartGridComm, page 546-551. IEEE, (2013)Traffic Anomaly Detection in the presence of P2P traffic., , and . LCN, page 482-485. IEEE Computer Society, (2014)Progressive Differential Thresholding for Network Anomaly Detection., , , and . ICC, page 1-5. IEEE, (2011)Monetizing spambot activity and understanding its relation with spambot traffic features., , , and . AsiaCCS, page 51-52. ACM, (2012)