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Author

Shaaban A. Sahmoud

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Open access Sep 2026

Enhancing code smell classification with code refactoring-based data augmentation

One of the primary challenges in training deep neural networks is the requirement for a robust and diverse data source. To address this limitation, data augmentation techniques have emerged as a promising solution, enabling the expansion of training datasets without requiring additional data collection. This study inve...

Ali Nizam, Musa Aydin, Ertuğrul İslamoğlu et al. · 0 citations
Open access Jul 2026

Insta-BDA: Instance-Aware Building Damage Assessment and Counting via Foundation Model Fusion

Results suggest that integrating foundation model segmentation with change detection offers a practical pathway toward operational, instance-level building damage assessment, and investigate two fusion strategies—a rule-based approach (Insta-BDA-RB) and a learnable variant (Insta-BDA-MLP)—using a compact multilayer per...

Beyza Gürer, Shaaban A. Sahmoud, Mohammed Bennamoun et al. · 0 citations

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