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Abstract: This study presents a machine learning-based approach for classifying noise types in automotive power seat DC motors using vibration data captured via a piezoelectric accelerometer. To ...
Waist-worn sensors provided by ActiGraph captured accelerometer data while participants completed 3 self-report measures of PA. The multilevel modeling method was used with EMA, GPAQ, and BAR as ...
Abstract: Wheel flats (WF) are a common defect in railway systems, posing risks to operational safety, passenger comfort, and the longevity of infrastructure. Existing detection methods face ...