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 ...
Abstract: Reliable motor fault diagnosis is crucial for operational safety in industrial systems. This paper presents a lightweight deep neural network (DNN) framework for classifying motor vibration ...
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 ...
Web scraper for collecting product and review data from e-commerce sites using Scraping Bee, AWS, Selenium, and Pandas. Focuses on cost-effective solutions, user-friendly interfaces, and efficient ...
A software engineer and book author with many years of experience, I have dedicated my career to the art of automation. A software engineer and book author with many years of experience, I have ...
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