A Machine Learning Method for Power Prediction on the Mobile Devices-Reference-Cited by-同舟云学术

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A Machine Learning Method for Power Prediction on the Mobile Devices

Published:2015-08-26 Issue:10 Volume:39 Page:
ISSN:0148-5598
Container-title:Journal of Medical Systems
language:en
Short-container-title:J Med Syst

Author:

Chen Da-Ren,Chen You-Shyang,Chen Lin-Chih,Hsu Ming-Yang,Chiang Kai-Feng

Publisher

Springer Science and Business Media LLC

Subject

Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)

Link

http://link.springer.com/content/pdf/10.1007/s10916-015-0320-5.pdf

Reference35 articles.

1. Dong, W., et al., Enabling efficient reprogramming through reduction of executable modules in networked embedded systems. Ad Hoc Networks 11(1):473–489, 2013.

2. Alonso, R. S., et al., Implementing a hardware-embedded reactive agents platform based on a service-oriented architecture over heterogeneous wireless sensor networks. Ad Hoc Networks 11.1:151–166, 2013.

3. Severini, M., et al., Energy-Aware task scheduler for self-powered sensor nodes: From model to firmware. Ad Hoc Networks 24:73–91, 2015.

4. Huang, K. L., Kanhere, S. S., and Wen, H., On the need for a reputation system in mobile phone based sensing. Ad Hoc Networks 12:130–149, 2014.

5. Spanos, S., Meliones, A., and Stassinopoulos, G., The internals of advanced interrupt handling techniques: Performance optimization of an embedded Linux network interface. Computer Communications 31.14:3460–3468, 2008.

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