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Keywords: ResNet
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Proceedings Papers

Proc. ASME. MSEC2023, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T09A008, June 12–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2023-105105
... the initial training process. We synthesize a semi-supervised learning framework, building upon the residual neural network (ResNet) as well as the deep convolutional generative adversarial network (DCGAN), to extract features from the ground truth data and synthetic data. The performance boost of synthetic...