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机译:Segmentation of Additive Manufacturing Defects Using U-Net
Stanford Univ;
NIST;
smart manufacturing; defect detection; additive manufacturing; convolutional neural networks; X-ray computed tomography (XCT) images; machine learning; artificial intelligence; data-driven engineering; machine learning for engineering applications; POROSITY;