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contributor authorDing, Kelin
contributor authorQamhia, Issam I. A.
contributor authorHart, John M.
contributor authorTutumluer, Erol
date accessioned2026-08-20T11:11:21Z
date available2026-08-20T11:11:21Z
date copyright2025/08/19
date issued2025
identifier otherJITSE4.ISENG-2700.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311817
description abstractAbstractRailroad ballast fouling and degradation can lead to poor drainage, settlement, and reduced lateral stability. Reliable ballast condition evaluation during track inspections can help detect and eliminate such issues, which is essential to track ...
publisherAmerican Society of Civil Engineers
titleCondition Evaluation of Mud Spots in Railroad Ballast Using Deep Learning
typeJournal Article
journal volume31
journal issue4
journal titleJournal of Infrastructure Systems
identifier doi10.1061/JITSE4.ISENG-2700
journal fristpage04025028-1
journal lastpage04025028-12
page12
treeJournal of Infrastructure Systems:;2025:;Volume ( 031 ):;issue: 004
contenttypeFulltext


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