Smart Defect Detection in Aero-Engines: Evaluating Transfer Learning with VGG19 and Data-Efficient Image Transformer Models

Smart Defect Detection in Aero-Engines: Evaluating Transfer Learning with VGG19 and Data-Efficient Image Transformer Models

This study explores the impact of transfer learning on enhancing deep learning models for detecting defects in aero-engine components. We focused on metrics such as accuracy, precision, recall, and loss to compare the performance of models VGG19 and DeiT (data-efficient image transformer). RandomSea...

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Váldodahkkit: Samira Mohammadi, Vahid Rahmanian, Sasan Sattarpanah Karganroudi, Mehdi Adda
Materiálatiipa: Artihkal
Giella:English
Almmustuhtton: MDPI AG 2025-01-01
Ráidu:Machines
Fáttát:
transfer learning
defect detection
aero-engine components
transformer models
deep learning
Liŋkkat:https://www.mdpi.com/2075-1702/13/1/49

Interneahtta

https://www.mdpi.com/2075-1702/13/1/49

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