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Tawfiq Hasanin

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Open access Sep 2026

Interpretable hybrid model combining CNN-ViT with Grad-CAM and SHAP for transparent mapping of land use changes

A novel deep learning–based framework for multi-temporal LULC classification of Al-Taif City, Saudi Arabia, using Landsat 8 imagery from 2013 to 2024 is introduced, highlighting the effectiveness of the proposed framework in delivering both high-precision classification and interpretable insights.

Abdulmajid A. Alnoamani, Tawfiq Hasanin, A. Al-Ghamdi · 0 citations
Open access 2026

Complexity-Tiered Text-to-SQL Performance of Large Language Models in Smart-City Decision Support

High-value sensor data generated by smart-city observatories is often inaccessible to policymakers due to technical barriers. Large language models (LLMs) have been proposed as one way to reduce this bottleneck, but their ability to process real, complex sensor databases remained largely untested. This study benchmarke...

Wael Alnahari, Tawfiq Hasanin, Sahar Jambi · 0 citations
Open access 2026

Privacy-Preserving Feature Engineering Framework for Real-World Vulnerability Risk Prediction

Results demonstrate that the critical role of structured text preparation and semantic representation in enhancing model reliability, interpretability, and scalability for automated vulnerability prioritization, and underscore the critical role of structured text preparation and semantic representation in enhancing mod...

Jawharah Albarakati, Tawfiq Hasanin, Suaad Alarif · 0 citations

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