78 citations · 230 across the 50 of their papers we have counts for
12 papers · 1 filter
Zero-Shot Scene Understanding with Multimodal Large Language Models for Automated Vehicles
Mohammed Elhenawy, Shadi Jaradat, Taqwa I. Alhadidi +4
Scene understanding is critical for various downstream tasks in autonomous driving, including facilitating driver-agent communication and enhancing human-centered explainability of…
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…
Multimodal Large Language Models for Enhanced Traffic Safety: A Comprehensive Review and Future Trends
Mohammad Abu Tami, Mohammed Elhenawy, Huthaifa I. Ashqar
Traffic safety remains a critical global challenge, with traditional Advanced Driver-Assistance Systems (ADAS) often struggling in dynamic real-world scenarios due to fragmented se…
Enhancing Pavement Crack Classification with Bidirectional Cascaded Neural Networks
Taqwa I. Alhadidi, Asmaa Alazmi, Shadi Jaradat +3
Pavement distress, such as cracks and potholes, is a significant issue affecting road safety and maintenance. In this study, we present the implementation and evaluation of Bidirec…
Malware Classification from Memory Dumps Using Machine Learning, Transformers, and Large Language Models
Areej Dweib, Montaser Tanina, Shehab Alawi +2
This study investigates the performance of various classification models for a malware classification task using different feature sets and data configurations. Six models-Logistic…
Network Traffic Classification Using Machine Learning, Transformer, and Large Language Models
Ahmad Antari, Yazan Abo-Aisheh, Jehad Shamasneh +1
This study uses various models to address network traffic classification, categorizing traffic into web, browsing, IPSec, backup, and email. We collected a comprehensive dataset fr…
Visual Reasoning at Urban Intersections: FineTuning GPT-4o for Traffic Conflict Detection
Sari Masri, Huthaifa I. Ashqar, Mohammed Elhenawy
Traffic control in unsignalized urban intersections presents significant challenges due to the complexity, frequent conflicts, and blind spots. This study explores the capability o…
HazardNet: A Small-Scale Vision Language Model for Real-Time Traffic Safety Detection at Edge Devices
Mohammad Abu Tami, Mohammed Elhenawy, Huthaifa I. Ashqar
Traffic safety remains a vital concern in contemporary urban settings, intensified by the increase of vehicles and the complicated nature of road networks. Traditional safety-criti…
Towards Equitable AI: Detecting Bias in Using Large Language Models for Marketing
Berk Yilmaz, Huthaifa I. Ashqar
The recent advances in large language models (LLMs) have revolutionized industries such as finance, marketing, and customer service by enabling sophisticated natural language proce…
Vision-Language Models for Autonomous Driving: CLIP-Based Dynamic Scene Understanding
Mohammed Elhenawy, Huthaifa I. Ashqar, Andry Rakotonirainy +3
Scene understanding is essential for enhancing driver safety, generating human-centric explanations for Automated Vehicle (AV) decisions, and leveraging Artificial Intelligence (AI…
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…