Fast Semiautomatic Change Point Detection in Deformation Monitoring Using Kullback–Leibler Divergence

dc.contributor.author	Sharma, Atma
dc.contributor.author	Zhang, Jie
dc.contributor.author	Spagnoli, Giovanni
dc.contributor.author	Huang, Zhongkai
dc.contributor.author	Lu, Meng
dc.contributor.author	Yao, Hongzeng
dc.contributor.author	Wu, Shuangyi
dc.date.accessioned	2026-08-20T21:09:31Z
dc.date.available	2026-08-20T21:09:31Z
dc.date.copyright	2025/07/23
dc.date.issued	2025
dc.identifier.other	AJRUA6.RUENG-1625.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4314042
dc.description.abstract	AbstractAutomated change point detection in deformation monitoring data is desirable for engineering applications (e.g., operation, maintenance, and early warning). This study proposes a novel change point detection strategy using the Kullback–Leibler ...
dc.publisher	American Society of Civil Engineers
dc.title	Fast Semiautomatic Change Point Detection in Deformation Monitoring Using Kullback–Leibler Divergence
dc.type	Journal Article
dc.journal.volume	11
dc.journal.issue	4
dc.journal.title	ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
dc.identifier.doi	10.1061/AJRUA6.RUENG-1625
dc.journal.fristpage	04025057-1
dc.journal.lastpage	04025057-10
dc.page	10
dc.tree	ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2025:;Volume ( 011 ):;issue: 004
dc.contenttype	Fulltext