Semiconductor Engineering

Catching Critical Defects In TSVs And Stacked Chips

The small and complicated features of TSVs give rise to different defect types. Defects can form during any of the TSV ...
Que.com on MSN

AI transforms rocket parts manufacturing at the European Space Agency

The European Space Agency (ESA) is accelerating a quiet revolution on the factory floor: using artificial intelligence to design, inspect, ...
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 ...
Frontiers

Microstructural influence on learning-based defect detection in dissimilar metal welds

Introduction: Accurate defect detection in dissimilar metal welds (DMWs) remains a major challenge due to heterogeneous microstructures and imaging noise. Methods: In this study, we propose a novel ...
IEEE

Toward Automated Quality Control: An End-to-End Image Processing and Machine Learning Pipeline for Bullet Case Mouth Defect Detection

Abstract: The structural integrity of metallic bullet casings is critical not only for military applications—where a single defective casing can compromise ammunition performance and jeopardize ...
Scientific Research Publishing

Cheng, J.C.P. and Wang, M. (2018) Automated Detection of Sewer Pipe Defects in Closed-Circuit Television Images Using Deep Learning Techniques. Automation in Construction, 95 ...

ABSTRACT: Regular pipeline inspections are crucial for timely identification of critical defects and ensuring pipeline integrity. To address the challenges of detecting defects in PE gas pipelines ...
Frontiers

Detection of wood grain defects based on edge prior aggregation

1 School of Internet of Things Engineering, Jiangnan University, Wuxi, China 2 School of Electronic, Electrical Engineering and Physics, Fujian University of Technology, Fuzhou, China Wood, a widely ...