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Mining Discriminative Patterns to Predict Health Status for Cardiopulmonary Patients.

, , , , and . BCB, page 41-49. ACM, (2016)

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Mining Discriminative Patterns to Predict Health Status for Cardiopulmonary Patients., , , , and . BCB, page 41-49. ACM, (2016)Reconstructing Hash Reversal based Proof of Work Schemes., , , , , and . LEET, USENIX Association, (2011)Defending Tor from Network Adversaries: A Case Study of Network Path Prediction., , , , and . CoRR, (2014)Maintaining privacy during continuous motion sensing. University of Illinois Urbana-Champaign, USA, (2015)Towards a natural walking monitor for pulmonary patients using simple smart phones., , and . BCB, page 53-62. ACM, (2014)GaitTrack: Health Monitoring of Body Motion from Spatio-Temporal Parameters of Simple Smart Phones., , , , , and . BCB, page 897. ACM, (2013)Nonintrusive Load-Shed Verification., , , , , and . IEEE Pervasive Comput., 10 (1): 49-57 (2011)Classification Models for Pulmonary Function using Motion Analysis from Phone Sensors., , , , , , and . AMIA, AMIA, (2016)A Natural Walking Monitor for Pulmonary Patients Using Mobile Phones., , and . IEEE J. Biomed. Health Informatics, 19 (4): 1399-1405 (2015)Defending Tor from Network Adversaries: A Case Study of Network Path Prediction., , , , and . Proc. Priv. Enhancing Technol., 2015 (2): 171-187 (2015)