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    Partitioned Active Learning for Heterogeneous Systems 

    Source: Journal of Computing and Information Science in Engineering:;2023:;volume( 023 ):;issue: 004:;page 41009-1
    Author(s): Lee, Cheolhei; Wang, Kaiwen; Wu, Jianguo; Cai, Wenjun; Yue, Xiaowei
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Active learning is a subfield of machine learning that focuses on improving the data collection efficiency in expensive-to-evaluate systems. Active learning-applied surrogate modeling facilitates cost-efficient analysis ...
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    Surrogate Model-Based Control Considering Uncertainties for Composite Fuselage Assembly 

    Source: Journal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 004:;page 41017
    Author(s): Yue, Xiaowei; Wen, Yuchen; Hunt, Jeffrey H.; Shi, Jianjun
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Shape control of composite parts is vital for large-scale production and integration of composite materials in the aerospace industry. The current industry practice of shape control uses passive manual metrology. This has ...
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    Partitioned Active Learning for Heterogeneous Systems 

    Source: Journal of Computing and Information Science in Engineering:;2023:;volume( 023 ):;issue: 004:;page 41009
    Author(s): Lee, Cheolhei;Wang, Kaiwen;Wu, Jianguo;Cai, Wenjun;Yue, Xiaowei
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Active learning is a subfield of machine learning that focuses on improving the data collection efficiency in expensivetoevaluate systems. Active learningapplied surrogate modeling facilitates costefficient analysis of ...
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    Optimal Placement of Actuators Via Sparse Learning for Composite Fuselage Shape Control 

    Source: Journal of Manufacturing Science and Engineering:;2019:;volume( 141 ):;issue: 010
    Author(s): Du, Juan; Yue, Xiaowei; Hunt, Jeffrey H.; Shi, Jianjun
    Publisher: American Society of Mechanical Engineers (ASME)
    Abstract: Shape control is a critical task in the composite fuselage assembly process due to the dimensional variabilities of incoming fuselages. To realize fuselage shape adjustment, actuators are used to pull or push several points ...
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    MVGCN: Multi-View Graph Convolutional Neural Network for Surface Defect Identification Using Three-Dimensional Point Cloud 

    Source: Journal of Manufacturing Science and Engineering:;2022:;volume( 145 ):;issue: 003:;page 31004-1
    Author(s): Wang, Yinan; Sun, Wenbo; Jin, Jionghua (Judy); Kong, Zhenyu (James); Yue, Xiaowei
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Surface defect identification is a crucial task in many manufacturing systems, including automotive, aircraft, steel rolling, and precast concrete. Although image-based surface defect identification methods have been ...
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