Deep Learning Technology for Weld Defects Classification Based on Transfer Learning and Activation Features

Deep Learning Technology for Weld Defects Classification Based on Transfer Learning and Activation Features

Weld defects detection using X-ray images is an effective method of nondestructive testing. Conventionally, this work is based on qualified human experts, although it requires their personal intervention for the extraction and classification of heterogeneity. Many approaches have been done using mac...

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Bibliographic Details
Main Authors:	Chiraz Ajmi, Juan Zapata, Sabra Elferchichi, Abderrahmen Zaafouri, Kaouther Laabidi
Format:	Article
Language:	English
Published:	Wiley 2020-01-01
Series:	Advances in Materials Science and Engineering
Online Access:	http://dx.doi.org/10.1155/2020/1574350
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