Taek-Gyu LeeDoosan Heavy Ind & Construct Co Ltd关注立即认领分享关注立即认领分享基本信息浏览量:0职业迁徙个人简介暂无内容研究兴趣论文共 3 篇作者统计合作学者相似作者按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选时间引用量主题期刊级别合作者合作机构Development of Maximum Residual Stress Prediction Technique for Shot-Peened Specimen Using Rayleigh Wave Dispersion Data Based on Convolutional Neural Network Yeong-Won Choi,Taek-Gyu Lee,Yun-Taek Yeom,Sung-Duk Kwon,Hun-Hee Kim,Kee-Young Lee,Hak-Joon Kim,Sung-Jin SongMATERIALSno. 23 (2023): 7406引用0浏览0WOS引用00Rail Surface Defect Detection and Analysis Using Multi-Channel Eddy Current Method Based Algorithm for Defect EvaluationJeong Won Park,Taek Gyu Lee, In Chul Back,Sang Jun Park, Jong Min Seo,Won Jae Choi,Se Gon KwonJOURNAL OF NONDESTRUCTIVE EVALUATIONno. 3 (2021)引用6浏览0引用60Natural Rail Surface Defect Inspection And Analysis Using 16-Channel Eddy Current SystemSe-Gon Kwon,Taek-Gyu Lee,Sang-Jun Park,Jeong-Won Park, Jong-Min SeoAPPLIED SCIENCES-BASEL(2021)引用7浏览0引用70作者统计合作学者合作机构D-Core合作者学生导师暂无相似学者,你可以通过学者研究领域进行搜索筛选数据免责声明页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn