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    A Context-Aware Progressive Approach to Imputing Multivariate Heterogeneous Data in Water Pipe Networks

    Source: Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 004::page 04026030-1
    Author:
    Behrooz, Hojat
    ,
    Ilbeigi, Mohammad
    DOI: 10.1061/JCCEE5.CPENG-7278
    Publisher: American Society of Civil Engineers
    Abstract: AbstractGiven the logistical and financial complications in routine inspection of water pipelines, data-driven forecasting models play a crucial role in prioritizing inspection and maintenance tasks for pipes with a higher probability of failure. These ...
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      A Context-Aware Progressive Approach to Imputing Multivariate Heterogeneous Data in Water Pipe Networks

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314506
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    contributor authorBehrooz, Hojat
    contributor authorIlbeigi, Mohammad
    date accessioned2026-08-20T21:28:12Z
    date available2026-08-20T21:28:12Z
    date copyright2026/03/17
    date issued2026
    identifier otherJCCEE5.CPENG-7278.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314506
    description abstractAbstractGiven the logistical and financial complications in routine inspection of water pipelines, data-driven forecasting models play a crucial role in prioritizing inspection and maintenance tasks for pipes with a higher probability of failure. These ...
    publisherAmerican Society of Civil Engineers
    titleA Context-Aware Progressive Approach to Imputing Multivariate Heterogeneous Data in Water Pipe Networks
    typeJournal Article
    journal volume40
    journal issue4
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/JCCEE5.CPENG-7278
    journal fristpage04026030-1
    journal lastpage04026030-12
    page12
    treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 004
    contenttypeFulltext
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