A deep learning-based approach to extraction of filler morphology in SEM images with the application of automated quality inspection
Published in Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 2022
Check the paper at https://doi.org/10.1017/S0890060421000330 or download from below.
Recommended citation: Rahman, Md Fashiar, Tzu-Liang Bill Tseng, Jianguo Wu, Yuxin Wen, and Yirong Lin. “A deep learning-based approach to extraction of filler morphology in SEM images with the application of automated quality inspection.” AI EDAM 36 (2022): e15.
Recommended citation: Rahman, Md Fashiar, Tzu-Liang Bill Tseng, Jianguo Wu, Yuxin Wen, and Yirong Lin. "A deep learning-based approach to extraction of filler morphology in SEM images with the application of automated quality inspection." AI EDAM 36 (2022): e15.
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