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Fabric Defect Classification with Deep Learning by Ali ALsaeedi is a document available to read on EtoBox.

What is Fabric Defect Classification with Deep Learning about?

The document proposes a deep learning model using a residual network and cuckoo search optimization to classify fabric defects into four categories with high accuracy. It systematically analyzes the optimized model

Author

Ali ALsaeedi

Language

EN