fig9

Large language models enabled intelligent microstructure optimization and defects classification of welded titanium alloys

Figure 9. Model performance and confusion matrix loaded pre-trained weights and trained in the welding image dataset for 500 epochs. (A) MobileNetV2 architecture; (B) ConvNeXt architecture.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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