Morning Overview on MSN

BMW uses AI to cut defects and boost efficiency in EV battery cell output

BMW researchers have demonstrated that camera-based inspection systems can catch manufacturing flaws in battery electrodes ...
EurekAlert!

New AI approach could improve railway fastener defect detection for smarter maintenance

Researchers have evaluated how Vision Transformers and convolutional neural networks can support faster and more accurate ...
IEEE

Novel Design of Machine Learning Based Surface Defect Detection Systems

Abstract: A smart approach to surface defect detection utilizes machine learning algorithms and image processing techniques. The integration of discrete wavelet transform and the Otsu binary algorithm ...
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 ...
pv-magazine-usa

Machine learning models identify hidden physical defects in solar arrays

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 ...
IEEE

Machine Learning-Based Defect Detection, Output Matching Assessment, and Performance Recentering of a 79-GHz Four-Way CMOS Power Amplifier

Abstract: This work proposes the use of machine learning-based techniques for enhanced testability and performance calibration of an industrial 79-GHz power amplifier (PA) designed for an automotive ...
ahajournals.org

Abstract Fri013: AI-Driven Gait Classification for Peripheral Artery Disease (PAD) Detection Using Machine Learning and Nonlinear Gait Dynamics

Introduction: Peripheral Artery Disease (PAD) is a progressive vascular disorder impairing mobility, raising fall risk, and reducing quality of life. Early detection is key to preventing amputations ...
C&EN

Using Response Surface Methodology To Enhance Limited Data Sets for Machine Learning: A Polyvinyl Butyral Synthesis-Based Chemistry Undergraduate Teaching Case

School of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou, 510006, China ...