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Richard J Pyle

Showing results (1-10 of 4) with videos related to

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IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|April 7, 2023
Interpretable and Explainable Machine Learning for Ultrasonic Defect SizingRichard J Pyle, Robert R Hughes, Paul D Wilcox
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|May 23, 2022
Uncertainty Quantification for Deep Learning in Ultrasonic Crack CharacterizationRichard J Pyle, Robert R Hughes, Amine Ait Si Ali, 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.
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 4) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|April 7, 2023
Interpretable and Explainable Machine Learning for Ultrasonic Defect SizingRichard J Pyle, Robert R Hughes, Paul D Wilcox
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|May 23, 2022
Uncertainty Quantification for Deep Learning in Ultrasonic Crack CharacterizationRichard J Pyle, Robert R Hughes, Amine Ait Si Ali, 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.
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