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Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition., , , , , , и . CoRR, (2023)Power-Aware Activity Monitoring Using Distributed Wearable Sensors., , , , и . IEEE Trans. Hum. Mach. Syst., 44 (4): 537-544 (2014)Model-Agnostic Structural Transfer Learning for Cross-Domain Autonomous Activity Recognition., , , , и . Sensors, 23 (14): 6337 (июля 2023)IEEE Access Special Section Editorial: Body Area Networks., , , , , , и . IEEE Access, (2018)Power-aware action recognition with optimal sensor selection: an AdaBoost driven distributed template matching approach., , , и . mHealthSys@SenSys, стр. 5:1-5:6. ACM, (2011)CL-Gym: Full-Featured PyTorch Library for Continual Learning., и . CVPR Workshops, стр. 3621-3627. Computer Vision Foundation / IEEE, (2021)Dropout as an Implicit Gating Mechanism For Continual Learning., , и . CVPR Workshops, стр. 945-951. Computer Vision Foundation / IEEE, (2020)Understanding the Role of Training Regimes in Continual Learning., , , и . NeurIPS, (2020)On-Device Machine Learning for Diagnosis of Parkinson's Disease from Hand Drawn Artifacts., , , , , и . BSN, стр. 1-4. IEEE, (2022)Communication minimization for in-network processing in body sensor networks: A buffer assignment technique., , , и . DATE, стр. 358-363. IEEE, (2009)