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Active Probabilistic Fast Kernel Extreme-Learning Machine for Data-Efficient Bridge Condition Prediction

dc.contributor.authorMahmoudi, Negin
dc.contributor.authorIlbeigi, Mohammad
dc.date.accessioned2026-08-20T12:00:13Z
dc.date.available2026-08-20T12:00:13Z
dc.date.copyright2025/12/17
dc.date.issued2026
dc.identifier.otherJPCFEV.CFENG-5322.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312958
dc.description.abstractAbstractBridge condition assessment in many countries, including the US, relies on routine inspections of all bridges at predetermined intervals, costing millions of dollars each year. The significant cost of this approach, along with the availability of ...
dc.publisherAmerican Society of Civil Engineers
dc.titleActive Probabilistic Fast Kernel Extreme-Learning Machine for Data-Efficient Bridge Condition Prediction
dc.typeJournal Article
dc.journal.volume40
dc.journal.issue2
dc.journal.titleJournal of Performance of Constructed Facilities
dc.identifier.doi10.1061/JPCFEV.CFENG-5322
dc.journal.fristpage04025078-1
dc.journal.lastpage04025078-10
dc.page10
dc.treeJournal of Performance of Constructed Facilities:;2026:;Volume ( 040 ):;issue: 002
dc.contenttypeFulltext


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