78 citations · 230 across the 50 of their papers we have counts for
26 papers · 1 filter
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…
Identifying Economic Factors Affecting Unemployment Rates in the United States
Alrick Green, Ayesha Nasim, Jaydeep Radadia +4
In this study, we seek to understand how macroeconomic factors such as GDP, inflation, Unemployment Insurance, and S&P 500 index; as well as microeconomic factors such as health, r…
Advancing Object Detection in Transportation with Multimodal Large Language Models (MLLMs): A Comprehensive Review and Empirical Testing
Huthaifa I. Ashqar, Ahmed Jaber, Taqwa I. Alhadidi +1
This study aims to comprehensively review and empirically evaluate the application of multimodal large language models (MLLMs) and Large Vision Models (VLMs) in object detection fo…
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…
Visual Reasoning and Multi-Agent Approach in Multimodal Large Language Models (MLLMs): Solving TSP and mTSP Combinatorial Challenges
Mohammed Elhenawy, Ahmad Abutahoun, Taqwa I. Alhadidi +6
Multimodal Large Language Models (MLLMs) harness comprehensive knowledge spanning text, images, and audio to adeptly tackle complex problems, including zero-shot in-context learnin…
The Use of Multimodal Large Language Models to Detect Objects from Thermal Images: Transportation Applications
Huthaifa I. Ashqar, Taqwa I. Alhadidi, Mohammed Elhenawy +1
The integration of thermal imaging data with Multimodal Large Language Models (MLLMs) constitutes an exciting opportunity for improving the safety and functionality of autonomous d…
Using Multimodal Large Language Models for Automated Detection of Traffic Safety Critical Events
Mohammad Abu Tami, Huthaifa I. Ashqar, Mohammed Elhenawy
Traditional approaches to safety event analysis in autonomous systems have relied on complex machine learning models and extensive datasets for high accuracy and reliability. Howev…
Object Detection using Oriented Window Learning Vi-sion Transformer: Roadway Assets Recognition
Taqwa Alhadidi, Ahmed Jaber, Shadi Jaradat +2
Object detection is a critical component of transportation systems, particularly for applications such as autonomous driving, traffic monitoring, and infrastructure maintenance. Tr…
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…
Advancing Roadway Sign Detection with YOLO Models and Transfer Learning
Selvia Nafaa, Hafsa Essam, Karim Ashour +6
Roadway signs detection and recognition is an essential element in the Advanced Driving Assistant Systems (ADAS). Several artificial intelligence methods have been used widely amon…
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…