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 ...
Abstract: This study presents a comprehensive benchmarking of 33 machine learning (ML) algorithms for bearing fault classification using vibration data, with a focus on real-world deployment in ...
Abstract: This study develops and identifies the optimal machine learning model for land use and land cover (LULC) classification using Sentinel-2 imagery and Google Earth Engine (GEE) between 2018 ...
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