Hybrid twin attention based convolutional stacked sparse autoencoder for classification of defected weld images
Welding is an essential joining process in industrial manufacturing. Many deep learning models are introduced to detect welding errors. However, with a shortage of training data samples, most existing models take longer and are less accurate because of limited learning ability and increased computat...
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| Published in: | Computers & electrical engineering Vol. 124; p. 110328 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier Ltd
01.05.2025
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| Subjects: | |
| ISSN: | 0045-7906 |
| Online Access: | Get full text |
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