Informática
Facultad
Washington State University
Pullman, Estados UnidosPublicaciones en colaboración con investigadores/as de Washington State University (5)
2019
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Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition
IEEE Transactions on Mobile Computing, Vol. 18, Núm. 3, pp. 658-673
2017
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Adaptive Compressed Sensing at the Fingertip of Internet-of-Things Sensors: An Ultra-Low Power Activity Recognition
PROCEEDINGS OF THE 2017 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE)
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Adaptive compressed sensing at the fingertip of Internet-of-Things sensors: An ultra-low power activity recognition
Proceedings of the 2017 Design, Automation and Test in Europe, DATE 2017
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An Optimal Approach for Low-Power Migraine Prediction Models in the State-of-the-Art Wireless Monitoring Devices
PROCEEDINGS OF THE 2017 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE)
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An optimal approach for low-power migraine prediction models in the state-of-the-art wireless monitoring devices
Proceedings of the 2017 Design, Automation and Test in Europe, DATE 2017