Author

F. Özden

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Hybrid deep learning approaches for multiple fault diagnostics in intelligent manufacturing systems

This thesis examines hybrid deep learning approaches for identifying multiple defects on metal and fabric surfaces using convolutional neural networks and innovative approaches such as Vision Transformer and attention-based deep neural networks.

F. Özden · 0 citations