Abstract: This study delves into extracting Photoplethysmography (PPG) signals from images using various neural network architectures. The research aims to assess the effectiveness of different models ...
Abstract: This study introduces a deep learning approach for network intrusion detection (NIDS), which excels in both binary and multi-classification tasks. This approach combines the strengths of six ...
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