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Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition.

J. Pagán, R. Fallahzadeh, M. Pedram, J. Risco-Martín, J. Moya, J. Ayala, and H. Ghasemzadeh. CoRR, (2023)

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Mohammad Ghasemzadeh

Hassan Hassan

Hassan Abbas Hassan

Mohamed Hassan Hassan

Hassan Ragab Hassan Ramady

Other publications of authors with the same name

Power-Aware Activity Monitoring Using Distributed Wearable Sensors.H. Ghasemzadeh, P. Panuccio, S. Trovato, G. Fortino, and R. Jafari. IEEE Trans. Hum. Mach. Syst., 44 (4): 537-544 (2014)IEEE Access Special Section Editorial: Body Area Networks.L. Matekovits, G. Fortino, Z. Wang, H. Ghasemzadeh, V. Loscrì, I. Peter, and M. Hämäläinen. IEEE Access, (2018)Model-Agnostic Structural Transfer Learning for Cross-Domain Autonomous Activity Recognition.P. Alinia, A. Arefeen, Z. Ashari, S. Mirzadeh, and H. Ghasemzadeh. Sensors, 23 (14): 6337 (July 2023)Power-aware action recognition with optimal sensor selection: an AdaBoost driven distributed template matching approach.P. Panuccio, H. Ghasemzadeh, G. Fortino, and R. Jafari. mHealthSys@SenSys, page 5:1-5:6. ACM, (2011)Continual Learning for Activity Recognition.R. Sah, S. Mirzadeh, and H. Ghasemzadeh. EMBC, page 2416-2420. IEEE, (2022)Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition.J. Pagán, R. Fallahzadeh, M. Pedram, J. Risco-Martín, J. Moya, J. Ayala, and H. Ghasemzadeh. CoRR, (2023)On-Device Machine Learning for Diagnosis of Parkinson's Disease from Hand Drawn Artifacts.S. Venkata, S. Sabat, C. Deshpande, A. Arefeen, D. Peterson, and H. Ghasemzadeh. BSN, page 1-4. IEEE, (2022)Understanding the Role of Training Regimes in Continual Learning.S. Mirzadeh, M. Farajtabar, R. Pascanu, and H. Ghasemzadeh. NeurIPS, (2020)Dropout as an Implicit Gating Mechanism For Continual Learning.S. Mirzadeh, M. Farajtabar, and H. Ghasemzadeh. CVPR Workshops, page 945-951. Computer Vision Foundation / IEEE, (2020)CL-Gym: Full-Featured PyTorch Library for Continual Learning.S. Mirzadeh, and H. Ghasemzadeh. CVPR Workshops, page 3621-3627. Computer Vision Foundation / IEEE, (2021)

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Disambiguation of "Ghasemzadeh, Hassan"

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Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition.

Please choose a person to relate this publication to

Mohammad Ghasemzadeh

Hassan Hassan

Hassan Abbas Hassan

Mohamed Hassan Hassan

Hassan Ragab Hassan Ramady

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ghasemzadeh, Hassan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition.

Please choose a person to relate this publication to

Mohammad Ghasemzadeh

Hassan Hassan

Hassan Abbas Hassan

Mohamed Hassan Hassan

Hassan Ragab Hassan Ramady

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
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DIN 1505
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Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition.