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    Bridge Damage Recognition from Inspection Reports Using NER Based on Recurrent Neural Network with Active Learning 

    Source: Journal of Performance of Constructed Facilities:;2020:;Volume ( 034 ):;issue: 006
    Author(s): Seonghyeon Moon; Sehwan Chung; Seokho Chi
    Publisher: ASCE
    Abstract: A deep understanding of the cause-effect relationship of bridge damages provides an opportunity to design, construct, and maintain bridge structures more effectively. The damage factors (i.e., bridge element, damage, ...
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    Automated Construction Specification Review with Named Entity Recognition Using Natural Language Processing 

    Source: Journal of Construction Engineering and Management:;2021:;Volume ( 147 ):;issue: 001:;page 04020147-1
    Author(s): Seonghyeon Moon; Gitaek Lee; Seokho Chi; Hyunchul Oh
    Publisher: ASCE
    Abstract: When bidding on construction projects, contractors need to understand the specifications properly to manage project risks. However, specifications are mainly analyzed based on human cognitive abilities, which can take ...
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    Real-Time Construction Site Noise Mapping System Based on Spatial Interpolation 

    Source: Journal of Management in Engineering:;2023:;Volume ( 039 ):;issue: 002:;page 04022079-1
    Author(s): Gitaek Lee; Seonghyeon Moon; Seokho Chi
    Publisher: American Society of Civil Engineers
    Abstract: Because construction noise is one of the major factors affecting the health and safety of workers and nearby residents, it must be managed appropriately. Thus, this study aimed to map real-time noise information generated ...
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    Development of a Safety Inspection Framework on Construction Sites Using Mobile Computing 

    Source: Journal of Management in Engineering:;2017:;Volume ( 033 ):;issue: 003
    Author(s): Hao Zhang; Seokho Chi; Jay Yang; Madhav Nepal; Seonghyeon Moon
    Publisher: American Society of Civil Engineers
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