Abstract: The growing demand for automatic and precise recognition of medicinal plants, coupled with the potential techniques of deep learning, prompted us to investigate the use of CNN architectures.
Abstract: This study explores feature extraction and machine learning methods for automated sleep stage classification using physiological signals, focusing on PPG-derived parameters and skin ...
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