Real-Time Rust Segmentation on Steel Surface Using a Lightweight Transformer Deep Learning Model

dc.contributor.author	Zaman, Shahinuz
dc.contributor.author	Chen, Po-Han
dc.contributor.author	Chang, Luh-Maan
dc.date.accessioned	2026-08-20T11:11:48Z
dc.date.available	2026-08-20T11:11:48Z
dc.date.copyright	2025/09/24
dc.date.issued	2025
dc.identifier.other	JITSE4.ISENG-2747.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4311828
dc.description.abstract	AbstractIdentifying rust on steel surfaces is crucial for preserving the integrity of civil infrastructure. Rust-induced damage poses a significant challenge to structural health monitoring systems. Timely and accurate monitoring of rust defects on steel ...
dc.publisher	American Society of Civil Engineers
dc.title	Real-Time Rust Segmentation on Steel Surface Using a Lightweight Transformer Deep Learning Model
dc.type	Journal Article
dc.journal.volume	31
dc.journal.issue	4
dc.journal.title	Journal of Infrastructure Systems
dc.identifier.doi	10.1061/JITSE4.ISENG-2747
dc.journal.fristpage	04025033-1
dc.journal.lastpage	04025033-14
dc.page	14
dc.tree	Journal of Infrastructure Systems:;2025:;Volume ( 031 ):;issue: 004
dc.contenttype	Fulltext