Deep multimodal autoencoder for crack criticality assessment.

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Bibliographic Details
Title: Deep multimodal autoencoder for crack criticality assessment.
Authors: Launay, Hugo1, Ryckelynck, David1, david.ryckelynck@mines-paristech.fr, Lacourt, Laurent1, Besson, Jacques1, Mondon, Arnaud1, Willot, Francois1,2
Source: International Journal for Numerical Methods in Engineering; 3/30/2022, Vol. 123 Issue 6, p1456-1480, 25p
Database: Applied Science & Technology Source
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=155474463
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        Value: 10.1002/nme.6905
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        Text: English
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      – TitleFull: Deep multimodal autoencoder for crack criticality assessment.
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              Text: 3/30/2022
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              Y: 2022
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