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

45 citations · 57 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2023★ 12 cited

3-Dimensional residual neural architecture search for ultrasonic defect detection

Shaun McKnight, Christopher MacKinnon, S. Gareth Pierce +5

This study presents a deep learning methodology using 3-dimensional (3D) convolutional neural networks to detect defects in carbon fiber reinforced polymer composites through volum…

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…