A review of synthetic and augmented training data for machine learning in ultrasonic non-destructive evaluation
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Ultrasonic Testing (UT) has seen increasing application of machine learning (ML) in recent years, promoting higher-level automation and decision-making in flaw detection and classification. Building a generalized training dataset to apply ML in non-destructive... ...
