Fabbaloo

Computer Vision And ML Defect Detection In Concrete AM

A new research review looks at how computer vision and machine learning could be used to spot defects in 3D printed concrete.
pv magazine International

Ensemble deep learning for PV cell defect detection

Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found that their accuracy was as high as 73%. All methods were trained and tested on the ELPV ...
Semiconductor Engineering

Wafer Bin Map Defect Classification Using Semi-Supervised Learning

A new technical paper titled “Semi-Supervised Learning with Wafer-Specific Augmentations for Wafer Defect Classification” was published by researchers at Korea University. “Semi-supervised learning ...
pv magazine International

US researchers use machine learning to detect hidden solar array defects

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...