78 citations · 230 across the 50 of their papers we have counts for
53 papers
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…
Flood Risk Assessment of the National Harbor at Maryland, United States
Neftalem Negussie, Addis Yesserie, Chinchu Harris +2
Over the past few decades, floods have become one of the costliest natural hazards and losses have sharply escalated. Floods are an increasing problem in urban areas due to increas…
Optimizing Daily Fantasy Baseball Lineups: A Linear Programming Approach for Enhanced Accuracy
Max Grody, Sandeep Bansal, Huthaifa I. Ashqar
Daily fantasy baseball has shortened the life cycle of an entire fantasy season into a single day. As of today, it has become familiar with more than 10 million people around the w…
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…
Estimating Variability in Hospital Charges: The Case of Cesarean Section
Anna Perfilyeva, Vittal Raghavendra Miskin, Ryan Aven +2
This study sought to better understand the causes of price disparity in cesarean sections, using newly released hospital data. Beginning January 1, 2021, Centers for Medicare and M…
Impact of Covid-19 on Taxi Industry and Travel Behavior: A Case Study on Chicago, IL
Naga Sireesha Chinthala, Jenell Lewis, Sravan Vuppalapati +3
As the debate over the future of transportation continues in the midst of the COVID-19 pandemic as a deepening global crisis, taxi industry seems to be not spared by the quick and…
When to Commute During the COVID-19 Pandemic and Beyond: Analysis of Traffic Crashes in Washington, D.C
Joanne Choi, Sam Clark, Ranjan Jaiswal +3
Many workers in cities across the world, who have been teleworking because of the COVID-19 pandemic, are expected to be back to their commutes. As this process is believed to be gr…
The effect of different feature selection methods on models created with XGBoost
Jorge Neyra, Vishal B. Siramshetty, Huthaifa I. Ashqar
This study examines the effect that different feature selection methods have on models created with XGBoost, a popular machine learning algorithm with superb regularization methods…
Influential Factors in Increasing an Amazon products Sales Rank
Ben Chen, Rohit Mokashi, Mamata Khadka +2
Amazon is the world number one online retailer and has nearly every product a person could need along with a treasure trove of product reviews to help consumers make educated purch…
Analysis of Droughts and Their Intensities in California from 2000 to 2020
Ujjwal, Shikha C. Patel, Bansari K. Shah +2
Drought has been perceived as a persistent threat globally and the complex mechanism of various factors contributing to its emergence makes it more troublesome to understand. Droug…
The Effect of Funding on Student Achievement: Evidence from District of Columbia, Virginia, and Maryland
Adam Raabe, Jessica Reynolds, Akshitha Kukudala +1
The question of how to best serve the student populations of our country is a complex topic. Since public funding is limited, we must explore the best ways to direct the money to i…
The Impact of Medicaid Expansion on Medicare Quality Measures
Hala Algrain, Elizabeth Cardosa, Shekha Desai +3
The Affordable Care Act was signed into law in 2010, expanding Medicaid and improving access to care for millions of low-income Americans. Fewer uninsured individuals reduced the c…
The Relationship Between Smartphone Usage and Sleep Quality Amongst University Students
Hafsa Chaudhry, Hetvi Patel, Sai Teja Avadhootha +4
Gender differences were examined in sensitivity to sleep quality, in the context of blue light exposure from smartphones. Our hypothesis was created based on our journal article fi…