EE World Online

Expanded HMI models for defect detection

Lattice Semiconductor announced the latest release of the Lattice sensAI solution stack, delivering expanded model support, ...
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 ...
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 ...
IEEE

Defect Detection in Transforming Textile Mills with Machine Learning and CNN Method: Applications and Innovations for Eco-Conscious Future

Abstract: This Article offers a review and analysis of the transformation of textile mills through the latest advancements and applications of machine learning. The body of extant literature was ...