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    A Coarse-Grained Regularization Method of Convolutional Kernel for Molten Pool Defect Identification 

    Source: Journal of Computing and Information Science in Engineering:;2020:;volume( 020 ):;issue: 002
    Author(s): Liu, Tianyuan; Bao, Jinsong; Wang, Junliang; Zhang, Yiming
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Machine vision has a wide range of applications in the field of welding. The rise of convolutional neural network (CNN) provides a new way to extract visual features of welding. Due to the limitation of the small size of ...
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