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contributor authorQiu, Shi
contributor authorShah, S. Muhammad Ahmed Hassan
contributor authorWang, Weidong
contributor authorYamin, Seemab
contributor authorWang, Jin
contributor authorAi, Chengbo
contributor authorZaheer, Qasim
date accessioned2026-08-20T20:57:47Z
date available2026-08-20T20:57:47Z
date copyright2026/05/07
date issued2026
identifier otherJTEPBS.TEENG-9494.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313737
description abstractAbstractEnsuring the integrity of railway fasteners is essential for maintaining track stability and operational safety, particularly under high-speed and dynamic loading conditions. However, reliable inspection becomes challenging in low-light ...
publisherAmerican Society of Civil Engineers
titleAIoT-Based Rail Fastener Assessment in Low-Light Environment Using Focal Modulated Unsupervised Image Enhancement and Generative Segmentation
typeJournal Article
journal volume152
journal issue7
journal titleJournal of Transportation Engineering, Part A: Systems
identifier doi10.1061/JTEPBS.TEENG-9494
journal fristpage04026041-1
journal lastpage04026041-30
page30
treeJournal of Transportation Engineering, Part A: Systems:;2026:;Volume ( 152 ):;issue: 007
contenttypeFulltext


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