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

    Source: Journal of Performance of Constructed Facilities:;2026:;Volume ( 040 ):;issue: 002::page 04025078-1
    Author:
    Mahmoudi, Negin
    ,
    Ilbeigi, Mohammad
    DOI: 10.1061/JPCFEV.CFENG-5322
    Publisher: American Society of Civil Engineers
    Abstract: AbstractBridge 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 ...
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      Active Probabilistic Fast Kernel Extreme-Learning Machine for Data-Efficient Bridge Condition Prediction

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4312958
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    contributor authorMahmoudi, Negin
    contributor authorIlbeigi, Mohammad
    date accessioned2026-08-20T12:00:13Z
    date available2026-08-20T12:00:13Z
    date copyright2025/12/17
    date issued2026
    identifier otherJPCFEV.CFENG-5322.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312958
    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 ...
    publisherAmerican Society of Civil Engineers
    titleActive Probabilistic Fast Kernel Extreme-Learning Machine for Data-Efficient Bridge Condition Prediction
    typeJournal Article
    journal volume40
    journal issue2
    journal titleJournal of Performance of Constructed Facilities
    identifier doi10.1061/JPCFEV.CFENG-5322
    journal fristpage04025078-1
    journal lastpage04025078-10
    page10
    treeJournal of Performance of Constructed Facilities:;2026:;Volume ( 040 ):;issue: 002
    contenttypeFulltext
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