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 ...
The structural health monitoring (SHM) of wind turbine blades is crucial for early failure identification, which subsequently reduces maintenance costs and ensures reliable operation in both onshore ...
Abstract: This paper presents the development of a cost-effective, solar-powered, real-time air quality monitoring and hazard alert system utilizing an Arduino microcontroller integrated with gas and ...
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