Data-Driven Fatigue Prediction of Superalloys: A Novel Strategy Integrating Transfer Learning and Partial Label Learning for Addressing Ambiguous Data.

To enhance the interpretability and accuracy of the data visualization, we applied a standardized significance labeling system based on Welch's test results: *** indicates p <0.001 (extremely significant), ** indicates p <0.01 (highly significant), * indicates p <0.05 (significant), and ns indicates no significant difference.

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