Domain Adapted Deep-Learning for Improved Ultrasonic Crack Characterization Using Limited Experimental Data

Data associated with paper published in IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control entitled "Domain Adapted Deep-Learning for Improved Ultrasonic Crack Characterization Using Limited Experimental Data"

Complete download (zip, 28.2 GiB)

Creator(s) Paul Wilcox, Richard Pyle, Robert Hughes, Rhodri L T Bevan, Amine Ait Si Ali
Publication date 18 Feb 2022
Language eng
Publisher University of Bristol
Licence Non-Commercial Government Licence for public sector information
DOI 10.5523/bris.2qvdv9sor9qwk25j6ewyq6eexd
Citation Paul Wilcox, Richard Pyle, Robert Hughes, Rhodri L T Bevan, Amine Ait Si Ali (2022): Domain Adapted Deep-Learning for Improved Ultrasonic Crack Characterization Using Limited Experimental Data. https://doi.org/10.5523/bris.2qvdv9sor9qwk25j6ewyq6eexd
Total size 28.2 GiB

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