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Optimal Time-Resource Allocation for Energy-Efficient Physical Activity Detection.

, , , , , , , and . IEEE Trans. Signal Process., 59 (4): 1843-1857 (2011)

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A critique of HF NVIS channel models., , , , , , , and . MILCOM, page 1636-1642. IEEE, (2015)Sensor Selection and Power Allocation for Distributed Estimation in Sensor Networks: Beyond the Star Topology., and . IEEE Trans. Signal Process., 56 (7-1): 2649-2661 (2008)A critique of HF NVIS channel models., , , , , , , and . MILCOM, page 1636-1642. IEEE, (2015)Improving the SRW Waveform via a Physical Layer Retrofit., , , , , and . MILCOM, page 396-399. IEEE, (2013)Energy-Efficient Group Key Agreement for Wireless Networks., , , , and . IEEE Trans. Wirel. Commun., 14 (10): 5552-5564 (2015)Optimal Allocation of Time-Resources for Multihypothesis Activity-Level Detection., , , , , , , and . DCOSS, volume 5516 of Lecture Notes in Computer Science, page 273-286. Springer, (2009)KNOWME: a case study in wireless body area sensor network design., , , , , , , , , and 3 other author(s). IEEE Commun. Mag., 50 (5): 116-125 (2012)Optimal time-resource allocation for activity-detection via multimodal sensing., , , , , , , and . BODYNETS, page 14. ICST, (2009)Parametric methods for anomaly detection in aggregate traffic., , and . IEEE/ACM Trans. Netw., 19 (2): 512-525 (2011)KNOWME: An Energy-Efficient Multimodal Body Area Network for Physical Activity Monitoring., , , , , , , and . ACM Trans. Embed. Comput. Syst., 11 (S2): 48:1-48:24 (2012)