Detecting Internal Erosion in Earth Dams: Frequency-Domain Analysis with Mel Spectrograms and Convolutional Autoencoders

dc.contributor.author	Fazel Mojtahedi, Farid
dc.contributor.author	Hashem, Tahrima
dc.contributor.author	Yousefpour, Negin
dc.date.accessioned	2026-08-20T21:24:33Z
dc.date.available	2026-08-20T21:24:33Z
dc.date.copyright	2025/12/02
dc.date.issued	2026
dc.identifier.other	JCCEE5.CPENG-6629.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4314406
dc.description.abstract	AbstractInternal erosion poses a significant threat to the structural integrity of earth dams, often leading to catastrophic failures. The critical nature of such events emphasizes the need for reliable predictive methods to foresee and mitigate these ...
dc.publisher	American Society of Civil Engineers
dc.title	Detecting Internal Erosion in Earth Dams: Frequency-Domain Analysis with Mel Spectrograms and Convolutional Autoencoders
dc.type	Journal Article
dc.journal.volume	40
dc.journal.issue	2
dc.journal.title	Journal of Computing in Civil Engineering
dc.identifier.doi	10.1061/JCCEE5.CPENG-6629
dc.journal.fristpage	04025160-1
dc.journal.lastpage	04025160-13
dc.page	13
dc.tree	Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 002
dc.contenttype	Fulltext