Abstract: This study presents a novel approach for diagnosing machine conditions using deep learning models applied to Gabor-transformed motor current signatures. The dataset comprised signals from ...
Abstract: EEG data have significant academic and clinical value because of their non-invasive nature which allows for easy extraction. At the same time, they are also prone to distortion from noise, ...
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