78 citations · 234 across the 33 of their papers we have counts for
7 papers · 1 filter
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…
Automated Question Generation for Science Tests in Arabic Language Using NLP Techniques
Mohammad Tami, Huthaifa I. Ashqar, Mohammed Elhenawy
Question generation for education assessments is a growing field within artificial intelligence applied to education. These question-generation tools have significant importance in…
Question-Answering (QA) Model for a Personalized Learning Assistant for Arabic Language
Mohammad Sammoudi, Ahmad Habaybeh, Huthaifa I. Ashqar +1
This paper describes the creation, optimization, and assessment of a question-answering (QA) model for a personalized learning assistant that uses BERT transformers customized for…
Transformer Models in Education: Summarizing Science Textbooks with AraBART, MT5, AraT5, and mBART
Sari Masri, Yaqeen Raddad, Fidaa Khandaqji +2
Recently, with the rapid development in the fields of technology and the increasing amount of text t available on the internet, it has become urgent to develop effective tools for…
Exploring Combinatorial Problem Solving with Large Language Models: A Case Study on the Travelling Salesman Problem Using GPT-3.5 Turbo
Mahmoud Masoud, Ahmed Abdelhay, Mohammed Elhenawy
Large Language Models (LLMs) are deep learning models designed to generate text based on textual input. Although researchers have been developing these models for more complex task…