pv magazine Australia

Machine-learning models identify hidden physical defects in solar arrays

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

Robust CT HIP Defect Detection Using Field-Aligned Synthetic Data and PointNet++

Abstract: Advanced semiconductor packaging requires high-reliability inspection, but 3D X-ray CT analysis is complex. Automating this process using AI is severely hindered by the “data dilemma”: a ...
pv magazine International

US researchers use machine learning to detect hidden solar array defects

US researchers say a self-supervised machine-learning tool can identify long-term physical defects in solar assets weeks or years before conventional inspections, potentially reducing operations and ...
IEEE

Depression Analysis and Detection Using Machine Learning: Incorporating Gender Differences in a Comparative Study

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 ...