A lightweight metallographic defect detection framework via structured priors and energy-aware attention under strong grain boundary interference

Nature·Mar 26

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1

Measurement-aware learning for reliable grain-boundary analysis in quantitative metallography

Nature·Jun 30

2

Quality prediction using multiscale convolutional VAEs for thin plate parts

Nature·Jan 21