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Rhodri L T Bevan

Showing results (1-10 of 6) with videos related to

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IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|October 19, 2018
Experimental Quantification of Noise in Linear Ultrasonic ImagingRhodri L T Bevan, Jie Zhang, Nicolas Budyn, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|April 17, 2019
A model for multi-view ultrasonic array inspection of small two-dimensional defectsNicolas Budyn, Rhodri L T Bevan, Jie Zhang, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|August 4, 2020
Data Fusion of Multiview Ultrasonic Imaging for Characterization of Large DefectsRhodri L T Bevan, Nicolas Budyn, Jie Zhang, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|February 14, 2022
Domain Adapted Deep-Learning for Improved Ultrasonic Crack Characterization Using Limited Experimental DataRichard J Pyle, Rhodri L T Bevan, Robert R Hughes, et al.
Proceedings. Mathematical, Physical, and Engineering Sciences|December 28, 2020
Fusion of multi-view ultrasonic data for increased detection performance in non-destructive evaluationPaul D Wilcox, Anthony J Croxford, Nicolas Budyn, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|December 18, 2020
Deep Learning for Ultrasonic Crack Characterization in NDERichard J Pyle, Rhodri L T Bevan, Robert R Hughes, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|October 19, 2018
Experimental Quantification of Noise in Linear Ultrasonic ImagingRhodri L T Bevan, Jie Zhang, Nicolas Budyn, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|April 17, 2019
A model for multi-view ultrasonic array inspection of small two-dimensional defectsNicolas Budyn, Rhodri L T Bevan, Jie Zhang, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|August 4, 2020
Data Fusion of Multiview Ultrasonic Imaging for Characterization of Large DefectsRhodri L T Bevan, Nicolas Budyn, Jie Zhang, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|February 14, 2022
Domain Adapted Deep-Learning for Improved Ultrasonic Crack Characterization Using Limited Experimental DataRichard J Pyle, Rhodri L T Bevan, Robert R Hughes, et al.
Proceedings. Mathematical, Physical, and Engineering Sciences|December 28, 2020
Fusion of multi-view ultrasonic data for increased detection performance in non-destructive evaluationPaul D Wilcox, Anthony J Croxford, Nicolas Budyn, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|December 18, 2020
Deep Learning for Ultrasonic Crack Characterization in NDERichard J Pyle, Rhodri L T Bevan, Robert R Hughes, et al.
Pageof 1