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Robust Compressive Data Gathering in Wireless Sensor Networks.

, , , , and . IEEE Trans. Wirel. Commun., 12 (6): 2754-2761 (2013)

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Robust Compressive Data Gathering in Wireless Sensor Networks., , , , and . IEEE Trans. Wirel. Commun., 12 (6): 2754-2761 (2013)An examination of TNM staging of melanoma by a machine learning algorithm., , , , , and . ICCH, page 120-126. IEEE, (2012)MIMO-Aware Spectrum Access and Scheduling in Multi-hop Multi-channel Wireless Networks., , and . WASA, volume 8491 of Lecture Notes in Computer Science, page 161-172. Springer, (2014)OPFKA: Secure and efficient Ordered-Physiological-Feature-based key agreement for wireless Body Area Networks., , , , , and . INFOCOM, page 2274-2282. IEEE, (2013)A Dynamic Weighted Ensemble to Cope with Concept Drifting Classification., , , and . ICYCS, page 1854-1859. IEEE Computer Society, (2008)A statistical approach for target counting in sensor-based surveillance systems., , , and . INFOCOM, page 226-234. IEEE, (2012)Routing for Information Leakage Reduction in Multi-channel Multi-hop Ad-Hoc Social Networks., , , and . WASA, volume 7405 of Lecture Notes in Computer Science, page 31-42. Springer, (2012)Analysis of an ensemble algorithm for clustering cancer data., , , , and . BIBM Workshops, page 754-755. IEEE Computer Society, (2012)A Monte Carlo Method for Mobile Target Counting., , , , , and . ICDCS, page 750-759. IEEE Computer Society, (2011)An adaptive ensemble classifier for concept drifting stream., , , , , and . CIDM, page 69-75. IEEE, (2009)