HIGHLIGHTS
- who: Ahmed Sedik and collaborators from the Smart Systems Engineering Laboratory, College of Engineering, Prince Sultan University, Riyadh, Saudi Arabia have published the Article: WFT-Fati-Dec: Enhanced Fatigue Detection AI System Based on Wavelet Denoising and Fourier Transform, in the Journal: (JOURNAL)
- what: This study proposes a fatigue detection system based on Fast Fourier Transform (FFT) and Discrete Wavelet Transform (DWT) with machine learning and deep learning classifiers. 3 of 24 4 of 24 It is clear from the works discussed that many feature extraction methods were employed to extract the key features from . . .
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