Author

Huthaifa I. Ashqar

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#explainable ai Open access Sep 2026

A context-aware and human-centered framework for road safety assessment using semantic scene understanding

The proposed framework provides a reliable and explainable approach for assessing perceived road safety by integrating semantic scene understanding with contextual reasoning and establishes a reproducible foundation for future research in interpretable transportation systems, human–AI alignment analysis, and road scene...

Imad Tbaileh, Ahmed Radwan, Oroob Yaseen et al. · Frontiers in Future Transpor... · 0 citations

#small language model Open access Sep 2026

Toward Sustainable Urban Mobility: A Multimodal Large Language Model (MLLM) Framework for Automated Driver Performance Assessment with YOLOv8-Based Scene Detection

An exploratory proof-of-concept framework for automated driver evaluation that combines real-world dashcam footage, YOLOv8-based object detection, and multimodal large language models (MLLMs), specifically Gemini 1.5 Flash is presented.

Mamatha Byreddy, Yara Zayed, Anas M. R. Alsobeh et al. · Infrastructures · 0 citations

Jul 2026

Evaluating domain generalization of product image quality assessment models using AI-generated images

The findings demonstrate that AI-generated images serve as an effective diagnostic tool for robustness evaluation and failure mode analysis, and supports reliable deployment of product image quality assessment models and highlights the value of synthetic data as a structured robustness testing resource in multimedia an...

Imad Tbaileh, Huthaifa I. Ashqar · Multimedia Systems · 0 citations