Machine Learning–Based Assessment of Permafrost Degradation along the Inuvik–Tuktoyaktuk Highway

dc.contributor.author	Kamran, Farshad
dc.contributor.author	Ghorbani, Mohammadreza
dc.contributor.author	Dumais, Simon
dc.contributor.author	Doré, Guy
dc.contributor.author	Bilodeau, Jean-Pascal
dc.date.accessioned	2026-08-20T10:46:55Z
dc.date.available	2026-08-20T10:46:55Z
dc.date.copyright	2026/04/29
dc.date.issued	2026
dc.identifier.other	JCRGEI.CRENG-1215.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4311247
dc.description.abstract	Abstract Climate change is one of the biggest concerns of the current era. This problem is more evident in northern parts of the Earth and communities with colder temperatures and large ice reservoirs. In Arctic communities, permafrost lies beneath ...
dc.publisher	American Society of Civil Engineers
dc.title	Machine Learning–Based Assessment of Permafrost Degradation along the Inuvik–Tuktoyaktuk Highway
dc.type	Journal Article
dc.journal.volume	40
dc.journal.issue	3
dc.journal.title	Journal of Cold Regions Engineering
dc.identifier.doi	10.1061/JCRGEI.CRENG-1215
dc.journal.fristpage	04026026-1
dc.journal.lastpage	04026026-13
dc.page	13
dc.tree	Journal of Cold Regions Engineering:;2026:;Volume ( 040 ):;issue: 003
dc.contenttype	Fulltext