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    Intelligent Identification Approach for Accident Causation in Hydraulic and Hydropower Engineering Construction

    Source: Journal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 012::page 04025195-1
    Author:
    Zhou, Jiayi
    ,
    Zheng, Xiazhong
    ,
    Wang, Fei
    ,
    Tian, Dan
    DOI: 10.1061/JCEMD4.COENG-17170
    Publisher: American Society of Civil Engineers
    Abstract: AbstractAnalyzing historical accident reports is crucial for improving construction safety in hydraulic and hydropower engineering. Current methodologies for identifying accident causation exhibit two limitations: (1) text mining techniques excel at ...
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      Intelligent Identification Approach for Accident Causation in Hydraulic and Hydropower Engineering Construction

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4311122
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    • Journal of Construction Engineering and Management

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    contributor authorZhou, Jiayi
    contributor authorZheng, Xiazhong
    contributor authorWang, Fei
    contributor authorTian, Dan
    date accessioned2026-08-20T10:41:14Z
    date available2026-08-20T10:41:14Z
    date copyright2025/09/19
    date issued2025
    identifier otherJCEMD4.COENG-17170.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311122
    description abstractAbstractAnalyzing historical accident reports is crucial for improving construction safety in hydraulic and hydropower engineering. Current methodologies for identifying accident causation exhibit two limitations: (1) text mining techniques excel at ...
    publisherAmerican Society of Civil Engineers
    titleIntelligent Identification Approach for Accident Causation in Hydraulic and Hydropower Engineering Construction
    typeJournal Article
    journal volume151
    journal issue12
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/JCEMD4.COENG-17170
    journal fristpage04025195-1
    journal lastpage04025195-19
    page19
    treeJournal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 012
    contenttypeFulltext
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