most citedGANs and alternative methods of synthetic noise generation for domain adaption of defect classification of Non-destructive ultrasonic testing

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eess.IV2023★ 45 cited

GANs and alternative methods of synthetic noise generation for domain adaption of defect classification of Non-destructive ultrasonic testing

Shaun McKnight, S. Gareth Pierce, Ehsan Mohseni +4

This work provides a solution to the challenge of small amounts of training data in Non-Destructive Ultrasonic Testing for composite components. It was demonstrated that direct sim…