A railway surface defect detection model based on topology-enhanced feature association.

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Bibliographic Details
Title: A railway surface defect detection model based on topology-enhanced feature association.
Authors: Wu Q; School of Foreign Languages, Hainan Tropical Ocean University, No. 1 Yucai Road, Sanya, 572022, Hainan, China.; Mechanical Engineering Department, Universiti Putra Malaysia, Jalan UPM, Serdang, 43400, Selangor, Malaysia., Abdul Rahim SB; Mechanical Engineering Department, Universiti Putra Malaysia, Jalan UPM, Serdang, 43400, Selangor, Malaysia. sharafiz@upm.edu.my., Tang S; Mechanical Engineering Department, Universiti Putra Malaysia, Jalan UPM, Serdang, 43400, Selangor, Malaysia., Azizi MAB; Mechanical Engineering Department, Universiti Putra Malaysia, Jalan UPM, Serdang, 43400, Selangor, Malaysia., Wei J; Mechanical Engineering Department, Universiti Putra Malaysia, Jalan UPM, Serdang, 43400, Selangor, Malaysia.
Source: Scientific reports [Sci Rep] 2026 Apr 28; Vol. 16 (1). Date of Electronic Publication: 2026 Apr 28.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-026-49417-y