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    Data-Driven Look-Ahead Planning: Automating Task Completion Rate Estimation in Construction

    Source: Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 005::page 04026069-1
    Author:
    Mengiste, Eyob Tilahun
    ,
    García de Soto, Borja
    ,
    Hartmann, Timo
    DOI: 10.1061/JCCEE5.CPENG-6877
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThis paper introduces a method to automate task completion rate estimations for look-ahead planning in construction projects. The approach leverages information on material conditions and site space utilization collected during early project ...
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      Data-Driven Look-Ahead Planning: Automating Task Completion Rate Estimation in Construction

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314449
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    contributor authorMengiste, Eyob Tilahun
    contributor authorGarcía de Soto, Borja
    contributor authorHartmann, Timo
    date accessioned2026-08-20T21:26:12Z
    date available2026-08-20T21:26:12Z
    date copyright2026/06/07
    date issued2026
    identifier otherJCCEE5.CPENG-6877.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314449
    description abstractAbstractThis paper introduces a method to automate task completion rate estimations for look-ahead planning in construction projects. The approach leverages information on material conditions and site space utilization collected during early project ...
    publisherAmerican Society of Civil Engineers
    titleData-Driven Look-Ahead Planning: Automating Task Completion Rate Estimation in Construction
    typeJournal Article
    journal volume40
    journal issue5
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/JCCEE5.CPENG-6877
    journal fristpage04026069-1
    journal lastpage04026069-15
    page15
    treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 005
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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