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A Review of the Non-Invasive Techniques for Monitoring Different Aspects of Sleep
In this paper, we present a comprehensive survey of the latest research works (2015 and after) conducted in various categories of sleep monitoring including sleep stage classification, sleep posture recognition, sleep disorders detection, and vital signs monitoring.
Different Approaches for Human Activity Recognition: A Survey
We further divide these areas into ten different sub-topics and present the latest research work in these sub-topics.
Deep Autoencoder for Recommender Systems: Parameter Influence Analysis
Specifically, we find that DAE parameters strongly affect the prediction accuracy of the recommender systems, and the effect is transferable to similar datasets in a larger size.
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