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    Advanced Sound Classifiers and Performance Analyses for Accurate Audio-Based Construction Project Monitoring 

    Source: Journal of Computing in Civil Engineering:;2020:;Volume ( 034 ):;issue: 005
    Author(s): Yong-Cheol Lee; Michele Scarpiniti; Aurelio Uncini
    Publisher: ASCE
    Abstract: The sounds of work activities and equipment operations at a construction site provide critical information regarding construction progress, task performance, and safety issues. The construction industry, however, has not ...
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    Optimizing Modularization of Residential Housing Designs for Rapid Postdisaster Mass Production of Housing 

    Source: Journal of Construction Engineering and Management:;2023:;Volume ( 149 ):;issue: 007:;page 04023046-1
    Author(s): Pedram Ghannad; Yong-Cheol Lee
    Publisher: ASCE
    Abstract: Postdisaster housing reconstruction (PDHR) is a highly complex process because of the large number of recovery projects for affected communities and the shortage of resources after a disastrous event. PDHR also needs a ...
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    Data-Driven Reverse Engineering Algorithm Development Method for Developing Interoperable Quantity Takeoff Algorithms Using IFC-Based BIM 

    Source: Journal of Computing in Civil Engineering:;2020:;Volume ( 034 ):;issue: 005
    Author(s): Temitope Akanbi; Jiansong Zhang; Yong-Cheol Lee
    Publisher: ASCE
    Abstract: One main gap in the automation of construction quantity takeoff (QTO) is the lack of a systematic method to address building information models (BIMs) created from different BIM authoring tools and workflows. Even the ...
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    Prioritizing Postdisaster Recovery of Transportation Infrastructure Systems Using Multiagent Reinforcement Learning 

    Source: Journal of Management in Engineering:;2021:;Volume ( 037 ):;issue: 001:;page 04020100
    Author(s): Pedram Ghannad; Yong-Cheol Lee; Jin Ouk Choi
    Publisher: ASCE
    Abstract: Postdisaster reconstruction of transportation infrastructures generally entails complex and multiobjective planning and implementation options under uncertainty because of a large number of underlying subjective and objective ...
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    Dynamic Real-Time Optimization of Modular Unit Allocation to Off-Site Facilities in Postdisaster Reconstruction Using Deep Reinforcement Learning 

    Source: Journal of Management in Engineering:;2024:;Volume ( 040 ):;issue: 004:;page 04024021-1
    Author(s): Anisha Deria; Pedram Ghannad; Yong-Cheol Lee
    Publisher: American Society of Civil Engineers
    Abstract: Postdisaster housing reconstruction (PDHR) requires robust, efficient planning, and coordination among dispersed prefabrication facilities and jobsites to maximize prefabrication benefits. Manual construction methods and ...
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    Multiobjective Optimization of Postdisaster Reconstruction Processes for Ensuring Long-Term Socioeconomic Benefits 

    Source: Journal of Management in Engineering:;2020:;Volume ( 036 ):;issue: 004
    Author(s): Pedram Ghannad; Yong-Cheol Lee; Carol J. Friedland; Jin Ouk Choi; Eunhwa Yang
    Publisher: ASCE
    Abstract: Widespread destruction from large-scale disasters results in lengthy and costly recovery of damaged infrastructure and communities, with societal and economic impacts persisting many years after a hazard event. Robust and ...
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    Generation of Entity-Based Integrated Model View Definition Modules for the Development of New BIM Data Exchange Standards 

    Source: Journal of Computing in Civil Engineering:;2020:;Volume ( 034 ):;issue: 003
    Author(s): Yong-Cheol Lee; Moeid Shariatfar; Pedram Ghannad; Jiansong Zhang; Jin-Kook Lee
    Publisher: ASCE
    Abstract: As a subset standard for domain-specific building information modeling (BIM) data exchanges, a model view definition (MVD) has been developed under the Industry Foundation Class (IFC) schema. When a MVD is constructed, ...
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    DSpace software copyright © 2002-2015  DuraSpace
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