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Author

Nour Dbouk

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Jul 2026

GAN-Based Data Augmentation Strategies for Imbalanced Industrial Datasets: A Comparative Study with Transfer Learning

This work contributes by providing a benchmark for evaluating GAN-based augmentation methods in industrial inspection and by proposing a hybrid GAN–ResNet50 pipeline, which achieves superior classification accuracy through the integration of generative modeling with transfer learning.

Nour Dbouk, Majd Saied, Clovis Francis · 0 citations

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