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

Comparison Of State-Of-The-Art Models For Socket Pin Defect Detection

This article is adapted from a presentation at TestConX, March 5-8, 2023, Mesa, AZ, by Vijayakumar Thangamariappan, Nidhi Agrawal, Jason Kim, Constantinos Xanthopoulos, Ira Leventhal, and Ken Butler, ...
Semiconductor Engineering

Eyes On Zero Defects: Defect Detection And Characterization Metrology

Metrology is the science of measuring, characterizing, and analyzing materials. Within metrology, there are several technologies used to detect material defects on a very small scale – precision on ...
usace.army.mil

Training for flaw detection is vital prior to assembly

A supply chain is only as strong as the weakest link and when it comes to the rotary aviation industry, weakness is prohibited. Notwithstanding unexpected delays in production and training due to the ...
UC San Francisco

Fetal Heart Defect Detection Improved by Using Machine Learning

UC San Francisco researchers have found a way to double doctors’ accuracy in detecting the vast majority of complex fetal heart defects in utero – when interventions could either correct them or ...