Uncertainty Quantification for Deep Learning in Ultrasonic Crack Characterization

Data, pre-trained networks and code to support "Uncertainty Quantification for Deep Learning in Ultrasonic Crack Characterization", published in IEEE Trans. Ultrason. Ferroelect. & Freq. Contr., 2022.

Complete download (zip, 3.7 GiB)

Creator(s) Richard Pyle, Robert Hughes, Amine Ait Si Ali, Paul Wilcox
Publication date 28 Apr 2022
Language eng
Publisher University of Bristol
Licence Non-Commercial Government Licence for public sector information
DOI 10.5523/bris.xpeoi1k840fj2mrvfuaejo2t1
Citation Richard Pyle, Robert Hughes, Amine Ait Si Ali, Paul Wilcox (2022): Uncertainty Quantification for Deep Learning in Ultrasonic Crack Characterization. https://doi.org/10.5523/bris.xpeoi1k840fj2mrvfuaejo2t1
Total size 3.7 GiB

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