Profile evaluation of rail joint in a 3‐m wavelength based on unsupervised learning
Author(s): |
Jianli Cong
(School of Civil Engineering, Key Laboratory of High‐speed Railway Engineering, Ministry of Education Southwest Jiaotong University Chengdu Sichuan China)
Xue Yan (North China Municipal Engineering Design & Research Institute Co. Ltd. Tianjin China) Rong Chen (School of Civil Engineering, Key Laboratory of High‐speed Railway Engineering, Ministry of Education Southwest Jiaotong University Chengdu Sichuan China) Mingyuan Gao (College of Engineering and Technology Southwest University Chongqing China) Boyang An (School of Civil Engineering, Key Laboratory of High‐speed Railway Engineering, Ministry of Education Southwest Jiaotong University Chengdu Sichuan China) Huiyue Tang (National Supercomputing Center in Shenzhen Shenzhen Guangdong China) Yuan Wang (School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen Guangdong China) Ping Wang (School of Civil Engineering, Key Laboratory of High‐speed Railway Engineering, Ministry of Education Southwest Jiaotong University Chengdu Sichuan China) |
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Medium: | journal article |
Language(s): | English |
Published in: | Computer-Aided Civil and Infrastructure Engineering, May 2023, n. 13, v. 38 |
Page(s): | 1834-1856 |
DOI: | 10.1111/mice.12945 |
- About this
data sheet - Reference-ID
10696443 - Published on:
12/12/2022 - Last updated on:
02/09/2023