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    UAV-Based Real-Time Safety Inspection Using Deep-Learning Techniques for Natural and Artificial Hazard Management

    Source: Journal of Structural Design and Construction Practice:;2026:;Volume ( 031 ):;issue: 002::page 04026008-1
    Author:
    Gupta, Saurabh
    ,
    Jain, Vaishali
    ,
    Sharma, Pavan Kumar
    ,
    Nair, Syam
    DOI: 10.1061/JSDCCC.SCENG-2019
    Publisher: American Society of Civil Engineers
    Abstract: AbstractReconstruction and recovery operations after natural hazards pose a risk to the lives of construction workers. Personal protective equipment (PPE), such as helmets, is essential in avoiding fatal and nonfatal injuries at hazardous sites such as ...
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      UAV-Based Real-Time Safety Inspection Using Deep-Learning Techniques for Natural and Artificial Hazard Management

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4313261
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    contributor authorGupta, Saurabh
    contributor authorJain, Vaishali
    contributor authorSharma, Pavan Kumar
    contributor authorNair, Syam
    date accessioned2026-08-20T12:14:13Z
    date available2026-08-20T12:14:13Z
    date copyright2026/01/07
    date issued2026
    identifier otherJSDCCC.SCENG-2019.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313261
    description abstractAbstractReconstruction and recovery operations after natural hazards pose a risk to the lives of construction workers. Personal protective equipment (PPE), such as helmets, is essential in avoiding fatal and nonfatal injuries at hazardous sites such as ...
    publisherAmerican Society of Civil Engineers
    titleUAV-Based Real-Time Safety Inspection Using Deep-Learning Techniques for Natural and Artificial Hazard Management
    typeJournal Article
    journal volume31
    journal issue2
    journal titleJournal of Structural Design and Construction Practice
    identifier doi10.1061/JSDCCC.SCENG-2019
    journal fristpage04026008-1
    journal lastpage04026008-15
    page15
    treeJournal of Structural Design and Construction Practice:;2026:;Volume ( 031 ):;issue: 002
    contenttypeFulltext
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