A machine learning model trained on EEG data from patients recovering from strokes helps predict how new patients will regain ...
Abstract: Rotating machines are crucial in industries for reliable system operation, but unexpected failures can result in significant financial losses and personnel damage. Hence, fault diagnosis is ...
Abstract: With the development of switching devices toward high frequency, the prediction and calculation of magnetic material losses under high frequency have become increasingly important. Moreover, ...
Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...
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