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

45 citations · 46 across the 2 of their papers we have counts for

collaborators

2 papers

eess.SP2024★ 1 cited

3-DUSSS: 3-Dimensional Ultrasonic Self Supervised Segmentation

Shaun McKnight, Vedran Tunukovic, Amine Hifi +4

This study introduces a novel self-supervised learning approach for volumetric segmentation of defect indications captured by phased array ultrasonic testing data from Carbon Fiber…

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…