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    Automated Geometric Quantification of Building Exterior Wall Cracks Based on Computer Vision 

    Source: Journal of Performance of Constructed Facilities:;2024:;Volume ( 038 ):;issue: 004:;page 04024015-1
    Author(s): Ruying Cai; Jingru Li; Yi Tan; Wenchi Shou; Anthony Butera
    Publisher: American Society of Civil Engineers
    Abstract: Crack detection methods of high-rise building walls based on traditional computer vision (CV) heavily rely on manual selection and extraction of design features. Convolutional neural network (CNN)-based CV can actively ...
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    Automatic Completion of Underground Utility Topologies Using Graph Convolutional Networks 

    Source: Journal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 001:;page 04024054-1
    Author(s): Yang Su; Jun Wang; Peng Wu; Chengke Wu; Aobo Yue; Wenchi Shou
    Publisher: American Society of Civil Engineers
    Abstract: The absence of utility data, particularly about topological information, presents a significant impediment to the efficient management of underground utilities. Previous studies predominantly focus on general attributes ...
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    A Parameter-Driven Method for Modeling Bridge Defects through IFC 

    Source: Journal of Computing in Civil Engineering:;2022:;Volume ( 036 ):;issue: 004:;page 04022015
    Author(s): Shuyuan Xu; Jun Wang; Xiangyu Wang; Peng Wu; Wenchi Shou; Chao Liu
    Publisher: ASCE
    Abstract: Bridges experience regular inspections from transport agencies/authorities periodically. However, current approaches for the storage and visualization of inspection-related data are often restricted to spreadsheets and ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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