Work

Accurate and Fast Quantitative Detection of Rail Corrugation Driven by Deep Learning Algorithms Using Adaptive Targeted Loss and Directed Metric Functions

Year: 2025

Type: article

Source: IEEE Transactions on Intelligent Transportation Systems

DOI: 10.1109/tits.2025.3616106

Authors: Qinglin Xie, Jing Wang, Fangbo Liu, Jizhong Yang, Gongquan Tao, Zefeng Wen

Institutions: Southwest Jiaotong University, China Railway Eryuan Engineering Group Co.

Language: English

Topic: Railway Engineering and Dynamics

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, Applied Basic Research Program of Sichuan Province, Tianjin Science and Technology Program

Awards: G1094710109, G3276550123, G5816256162

OpenAlex ID: W4415003111

FWCI: 0.301

Cites: 44

Cited by: 1

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