A semi-supervised convolutional neural network-based method for steel surface defect recognition-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A semi-supervised convolutional neural network-based method for steel surface defect recognition

Published:2020-02 Issue: Volume:61 Page:101825
ISSN:0736-5845
Container-title:Robotics and Computer-Integrated Manufacturing
language:en
Short-container-title:Robotics and Computer-Integrated Manufacturing

Author:

Gao Yiping^ORCID,Gao Liang^ORCID,Li Xinyu,Yan Xuguo

Funder

Natural Science Foundation of China

(NSFC)

the Natural Science Foundation of Hubei Province

Program for HUST Academic Frontier Youth Team

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference39 articles.

1. Residual stresses evaluation in precision milling of hardened steel based on the deflection-electrochemical etching technique;Vilček;Robot. Comput. Integr. Manuf.,2017

2. Influence of cutting environments on surface integrity and power consumption of austenitic stainless steel;Muñoz-Escalona;Robot. Comput. Integr. Manuf.,2015

3. Online rail surface inspection utilizing spatial consistency and continuity;Gan;IEEE Trans. Syst. Man, Cybern. Syst.,2018

4. A cost-effective and automatic surface defect inspection system for hot-rolled flat steel;Luo;Robot. Comput. Integr. Manuf.,2016

5. Optimization of the recognition of defects in flat steel products with the cost matrices theory;Dupont;NDT E Int,1997

Cited by 136 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. A robust defect detection method with a generalization enhancer and cross-modality aggregator for cylinder bores;Engineering Applications of Artificial Intelligence;2024-10

2. Efficient online surface defect detection using multiple instance learning;Expert Systems with Applications;2024-10

3. FLSSnet: Few labeled samples segmentation network for coated fuel particle segmentation;Advanced Engineering Informatics;2024-10

4. A novel individual-relational consistency for bad semi-supervised generative adversarial networks (IRC-BSGAN) in image classification and synthesis;Applied Intelligence;2024-08-06

5. Industrial product surface defect detection via the fast denoising diffusion implicit model;International Journal of Machine Learning and Cybernetics;2024-07-11

同舟云学术

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