78 citations · 230 across the 49 of their papers we have counts for
9 papers · 1 filter
Enhancing Mathematics Learning for Hard-of-Hearing Students Through Real-Time Palestinian Sign Language Recognition: A New Dataset
Fidaa Khandaqji, Huthaifa I. Ashqar, Abdelrahem Atawnih
The study aims to enhance mathematics education accessibility for hard-of-hearing students by developing an accurate Palestinian sign language PSL recognition system using advanced…
Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text
Ayat Najjar, Huthaifa I. Ashqar, Omar Darwish +1
The development of Generative AI Large Language Models (LLMs) raised the alarm regarding identifying content produced through generative AI or humans. In one case, issues arise whe…
Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity
Ayat A. Najjar, Huthaifa I. Ashqar, Omar A. Darwish +1
This study seeks to enhance academic integrity by providing tools to detect AI-generated content in student work using advanced technologies. The findings promote transparency and…
Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm
Sari Masri, Huthaifa I. Ashqar, Mohammed Elhenawy
This study introduces a novel approach for traffic control systems by using Large Language Models (LLMs) as traffic controllers. The study utilizes their logical reasoning, scene u…
Leveraging Large Language Models (LLMs) for Traffic Management at Urban Intersections: The Case of Mixed Traffic Scenarios
Sari Masri, Huthaifa I. Ashqar, Mohammed Elhenawy
Urban traffic management faces significant challenges due to the dynamic environments, and traditional algorithms fail to quickly adapt to this environment in real-time and predict…
Exploring Traffic Crash Narratives in Jordan Using Text Mining Analytics
Shadi Jaradat, Taqwa I. Alhadidi, Huthaifa I. Ashqar +2
This study explores traffic crash narratives in an attempt to inform and enhance effective traffic safety policies using text-mining analytics. Text mining techniques are employed…