Abstract: Accurate fault detection and classification in power transmission systems are critical to maintaining grid reliability and minimizing outage durations. Traditional methods, often reliant on ...
Abstract: The primary aim of this study was to assess the classification performance of deep learning models in distinguishing between resting state and motor imagery swallowing, utilizing various ...
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