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    Efficient Track Irregularity Prediction Using TimeGAN and BLS-SVR

    Source: Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 002::page 04025153-1
    Author:
    Tong, Xinyu
    ,
    Meng, Haining
    ,
    Hei, Xinhong
    DOI: 10.1061/JCCEE5.CPENG-6819
    Publisher: American Society of Civil Engineers
    Abstract: AbstractMonitoring track irregularity is vital for ensuring the safety and comfort of railway transportation. Accurate predictions of track irregularities allow infrastructure managers (IMs) to develop cost-effective maintenance strategies. This paper ...
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      Efficient Track Irregularity Prediction Using TimeGAN and BLS-SVR

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314439
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    contributor authorTong, Xinyu
    contributor authorMeng, Haining
    contributor authorHei, Xinhong
    date accessioned2026-08-20T21:25:47Z
    date available2026-08-20T21:25:47Z
    date copyright2025/11/26
    date issued2026
    identifier otherJCCEE5.CPENG-6819.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314439
    description abstractAbstractMonitoring track irregularity is vital for ensuring the safety and comfort of railway transportation. Accurate predictions of track irregularities allow infrastructure managers (IMs) to develop cost-effective maintenance strategies. This paper ...
    publisherAmerican Society of Civil Engineers
    titleEfficient Track Irregularity Prediction Using TimeGAN and BLS-SVR
    typeJournal Article
    journal volume40
    journal issue2
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/JCCEE5.CPENG-6819
    journal fristpage04025153-1
    journal lastpage04025153-27
    page27
    treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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