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    Genetic Feature Selection and Multistage Deep Learning for Bridge Substructure Condition Prediction

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    JPCFEV.CFENG-5198.pdf (4.153Mb)
    Date
    2026
    Author
    Awuku, Bright
    Asa, Eric
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    Abstract
    AbstractTransportation agencies rely on accurate predictions of bridge substructure conditions for planning, resource allocation, and ensuring the safety of their infrastructure. Traditional deterioration models fail to adequately capture the complex ...
    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4312944
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