The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...

Abstract: Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. This study explores automated depression ...

Abstract: The increasing adoption of wind turbines as a key component of renewable energy generation necessitates the development of efficient and reliable maintenance strategies to ensure their ...