Results 21 to 30 of about 17,310 (258)
Automated optics inspection analysis for NIF
Fusion Engineering and Design, 2012 Abstract The National Ignition Facility (NIF) is a high-energy laser facility comprised of 192 beamlines that house thousands of optics. These optics guide, amplify and tightly focus light onto a tiny target for fusion ignition research and high energy density physics experiments.
Laura M. Kegelmeyer +10 more
openaire +2 more sources
Sensors, 2023 In recent decades, many cities have become densely populated due to increased urbanization, and the transportation infrastructure system has been heavily used. The downtime of important parts of the infrastructure, such as tunnels and bridges, seriously affects the transportation system’s efficiency.
Andreas Sjölander +3 more
openaire +4 more sources
IEEE Access, 2020 Large-scale product inspection is an important aspect in thin film industry to identify defects with a high precision. Although vision line scan camera (VLSC)-based inspection has been frequently implemented, it is limited to surface inspections ...
Deokmin Jeon +11 more
doaj +1 more source
Automated Machine Learning System for Defect Detection on Cylindrical Metal Surfaces
Sensors, 2022 Metal workpieces are indispensable in the manufacturing industry. Surface defects affect the appearance and efficiency of a workpiece and reduce the safety of manufactured products.
Yi-Cheng Huang +2 more
doaj +1 more source
SMT Assembly Inspection Using Dual-Stream Convolutional Networks and Two Solder Regions
Applied Sciences, 2020 The automated optical inspection of a surface mount technology line inspects a printed circuit board for quality assurance, and subsequently classifies the chip assembly defects.
Young-Gyu Kim, Tae-Hyoung Park
doaj +1 more source
Brazilian Journal of Poultry Science, 2015 A photonic imaging method that gives the possibility to measure egg quality was applied. Since the method is non-contact and non-destructive we believe that this photonic imaging method may be successfully integrated in the automated inspection systems ...
M Sabuncu, M Akdoğan
doaj +1 more source
Intelligent defect classification system based on deep learning
Advances in Mechanical Engineering, 2018 A fast and intelligent defect classification system for distinguishing defect features is developed in this study. Defect images obtained from an automated optical inspection instrument are first trained utilizing a deep learning approach based on the ...
Ruifang Ye +3 more
doaj +1 more source
Detection of Monocrystalline Silicon Wafer Defects Using Deep Transfer Learning
Journal of Telecommunications and Information Technology, 2022 Defect detection is an important step in industrial production of monocrystalline silicon. Through the study of deep learning, this work proposes a framework for classifying monocrystalline silicon wafer defects using deep transfer learning (DTL).
Adriana Ganum +3 more
doaj +1 more source
Interpreting the effects of DNA polymerase variants at the structural level
Molecular Oncology, EarlyView.Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi +7 more
wiley +1 more source
IEEE Access, 2020 Electronics industry is one of the fastest evolving, innovative, and most competitive industries. In order to meet the high consumption demands on electronics components, quality standards of the products must be well-maintained.
Abd Al Rahman M. Abu Ebayyeh +1 more
doaj +1 more source