Show simple item record

dc.contributor.authorLuo, Peihang
dc.contributor.authorParn, Erika
dc.contributor.authorKookalani, Soheila
dc.contributor.authorBrilakis, Ioannis
dc.date.accessioned2026-08-20T21:27:01Z
dc.date.available2026-08-20T21:27:01Z
dc.date.copyright2025/11/26
dc.date.issued2026
dc.identifier.otherJCCEE5.CPENG-7025.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314471
dc.description.abstractAbstractDigital twins (DTs) have emerged as a promising tool in road infrastructure management, enabling real-time monitoring, proactive maintenance, and data-driven decision making. However, existing digital twin systems primarily rely on generic, ...Practical ApplicationsMaintaining road infrastructure is essential for public safety, economic development, and efficient transportation; yet, many road maintenance systems rely on generic, one-size-fits-all alerts that do not account for the specific ...
dc.publisherAmerican Society of Civil Engineers
dc.titleTailorAlert: Large Language Model–Based Personalized Alert Generation System for Road Infrastructure Management with Digital Twins
dc.typeJournal Article
dc.journal.volume40
dc.journal.issue2
dc.journal.titleJournal of Computing in Civil Engineering
dc.identifier.doi10.1061/JCCEE5.CPENG-7025
dc.journal.fristpage04025154-1
dc.journal.lastpage04025154-14
dc.page14
dc.treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 002
dc.contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record