Inline Pipeline Inspection Using Hybrid Deep Learning Aided Endoscopic Laser Profiling
Author:
Funder
pipeline and hazardous materials safety administration
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Mechanics of Materials
Link
https://link.springer.com/content/pdf/10.1007/s10921-022-00890-1.pdf
Reference46 articles.
1. Ajmi, C., Zapata, J., Martínez-Álvarez, J.J., Doménech, G., Ruiz, R.: Using deep learning for defect classification on a small weld x-ray image dataset. J. Nondestr. Eval. 39(3), 1–13 (2020)
2. Alzuhiri, M,. Farrag, K., Lever, E., Deng, Y.: An electronically stabilized multi-color multi-ring structured light sensor for gas pipelines internal surface inspection. Accepted in IEEE Sensors (2021)
3. Bradski, G., Kaehler, A.: Learning OpenCV: Computer Vision with the OpenCV Library. O’Reilly Media Inc, California (2008)
4. Dahl, G.E., Sainath, T.N., Hinton, G.E.: Improving deep neural networks for lvcsr using rectified linear units and dropout. In: 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, pp. 8609–8613 (2013)
5. Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: Imagenet: A large-scale hierarchical image database. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, Ieee, pp. 248–255 (2009)
Cited by 8 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. Optical methods of laser ultrasonic testing technology in the industrial and engineering applications: A review;Optics & Laser Technology;2024-09
2. Identification of defects on the inner wall of water supply pipes based on the optimized residual network;Journal of Hydroinformatics;2024-08-20
3. Efficient data acquisition and reconstruction for air-coupled ultrasonic robotic NDE;Scientific Reports;2024-06-18
4. Dynamic Defect Detection in Fast, Robust NDE Methods by Transfer Learning Based Optimally Binned Hypothesis Tests;Research in Nondestructive Evaluation;2024-02-28
5. Enhanced defect detection in NDE using registration aided heterogeneous data fusion;NDT & E International;2023-12
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