Ultrasound image super-resolution reconstruction based on semi-supervised CycleGAN

F Gao, B Li, L Chen, X Wei, Z Shang, C Liu - Ultrasonics, 2024 - Elsevier
In ultrasonic testing, diffraction artifacts generated around defects increase the challenge of
quantitatively characterizing defects. In this paper, we propose a label-enhanced semi …

3-Dimensional residual neural architecture search for ultrasonic defect detection

S McKnight, C MacKinnon, SG Pierce… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
This study presents a deep-learning (DL) methodology using 3-D convolutional neural
networks (CNNs) to detect defects in carbon fiber-reinforced polymer (CFRP) composites …

[HTML][HTML] A study of machine learning object detection performance for phased array ultrasonic testing of carbon fibre reinforced plastics

V Tunukovic, S McKnight, E Mohseni, SG Pierce… - NDT & E …, 2024 - Elsevier
The growing adoption of Carbon Fibre Reinforced Plastics (CFRPs) in the aerospace
industry has resulted in a significant reliance on Non-Destructive Evaluation (NDE) to …