Fabric surface defect classification and systematic analysis using a cuckoo search optimized deep residual network
Fabric defects can significantly impact the quality of a textile product. By analyzing the types and frequencies of defects, manufacturers can identify process inefficiencies, equipment malfunctions, or operator errors. Although deep learning networks are accurate in classification applications, som...
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| Asıl Yazarlar: | , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Elsevier
2024-05-01
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| Seri Bilgileri: | Engineering Science and Technology, an International Journal |
| Konular: | |
| Online Erişim: | http://www.sciencedirect.com/science/article/pii/S2215098624000673 |
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