Defect detection and classification in welding using deep learning and digital radiography
Author:
Publisher
Elsevier
Reference85 articles.
1. A. Aljaroudi, F. Khan, A. Akinturk, M. Haddara, P. Thodi. Risk assessment of offshore crude oil pipeline failure. Journal of Loss Prevention in the Process Industries 37 (2015) 101–109.
2. W.M. Alobaidi, E.A. Aluam, H.M. Al-Rizzo, E. Sandgren. Applications of ultrasonic techniques in oil and gas pipeline industries: A review. American Journal of Operations Research 5 (4) (2015) 274.
3. M. Arntz, T. Gregory, U. Zierahn. Revisiting the risk of automation. Economics Letters 159 (2017) 157–160.
4. T. Backström, M. Döös. A comparative study of occupational accidents in industries with advanced manufacturing technology. International Journal of Human Factors in Manufacturing 5 (3) (1995) 267–282.
5. R. Baptista, M. Poloczek. Bayesian optimization of combinatorial structures. arXiv:1806.08838, 2018.
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. High-Quality, Low-Quantity: A Data-Centric Approach to Deep Learning Performance Optimization in Digital X-Ray Radiography;2024
2. Real-Time Defect Detection Scheme Based on Deep Learning for Laser Welding System;IEEE Sensors Journal;2023-08-01
3. Non-destructive ultrasonic testing and machine learning-assisted early detection of carburizing damage in HP steel pyrolysis furnace tubes;Measurement;2023-08
4. Integrated Video and Acoustic Emission Data Fusion for Intelligent Decision Making in Material Surface Inspection System;Sensors;2022-11-06
5. Real-Time Explainable Multiclass Object Detection for Quality Assessment in 2-Dimensional Radiography Images;Complexity;2022-08-08
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3