AI-Driven Database Development for Seismic Loss Estimation in Data-Deficient Regions Using Open-Source Data

dc.contributor.author	Lee, Kieun
dc.contributor.author	Kim, Taeyong
dc.contributor.author	Yoo, Doo-Yeol
dc.contributor.author	Moon, Sungkon
dc.date.accessioned	2026-08-20T21:27:19Z
dc.date.available	2026-08-20T21:27:19Z
dc.date.copyright	2026/02/06
dc.date.issued	2026
dc.identifier.other	JCCEE5.CPENG-7077.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4314480
dc.description.abstract	AbstractEstablishing a building database for city-level earthquake simulations remains challenging due to missing building information. To address this issue, this study proposes an integrated framework that systematically and efficiently collects missing ...
dc.publisher	American Society of Civil Engineers
dc.title	AI-Driven Database Development for Seismic Loss Estimation in Data-Deficient Regions Using Open-Source Data
dc.type	Journal Article
dc.journal.volume	40
dc.journal.issue	3
dc.journal.title	Journal of Computing in Civil Engineering
dc.identifier.doi	10.1061/JCCEE5.CPENG-7077
dc.journal.fristpage	04026023-1
dc.journal.lastpage	04026023-18
dc.page	18
dc.tree	Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 003
dc.contenttype	Fulltext