Huthaifa I. Ashqar
Orcid: 0000-0002-6835-8338
According to our database1,
Huthaifa I. Ashqar
authored at least 54 papers
between 2017 and 2025.
Collaborative distances:
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Bibliography
2025
Vision-Language Models for Autonomous Driving: CLIP-Based Dynamic Scene Understanding.
CoRR, January, 2025
Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text.
CoRR, January, 2025
Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity.
CoRR, January, 2025
Leveraging Deep Learning and Multimodal Large Language Models for Near-Miss Detection Using Crowdsourced Videos.
IEEE Open J. Comput. Soc., 2025
2024
Visual Reasoning and Multi-Agent Approach in Multimodal Large Language Models (MLLMs): Solving TSP and mTSP Combinatorial Challenges.
Mach. Learn. Knowl. Extr., September, 2024
Traffic Estimation of Various Connected Vehicle Penetration Rates: Temporal Convolutional Network Approach.
IEEE Trans. Intell. Transp. Syst., May, 2024
ML-CCD: machine learning model to predict concrete cover delamination failure mode in reinforced concrete beams strengthened with FRP sheets.
Softw. Impacts, 2024
Predictive Analytics in Mental Health Leveraging LLM Embeddings and Machine Learning Models for Social Media Analysis.
Int. J. Web Serv. Res., 2024
CoRR, 2024
Optimizing Daily Fantasy Baseball Lineups: A Linear Programming Approach for Enhanced Accuracy.
CoRR, 2024
Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm.
CoRR, 2024
When to Commute During the COVID-19 Pandemic and Beyond: Analysis of Traffic Crashes in Washington, D.C.
CoRR, 2024
CoRR, 2024
CoRR, 2024
The Relationship Between Smartphone Usage and Sleep Quality Amongst University Students.
CoRR, 2024
CoRR, 2024
Advancing Object Detection in Transportation with Multimodal Large Language Models (MLLMs): A Comprehensive Review and Empirical Testing.
CoRR, 2024
Leveraging Large Language Models (LLMs) for Traffic Management at Urban Intersections: The Case of Mixed Traffic Scenarios.
CoRR, 2024
The Use of Multimodal Large Language Models to Detect Objects from Thermal Images: Transportation Applications.
CoRR, 2024
Using Multimodal Large Language Models for Automated Detection of Traffic Safety Critical Events.
CoRR, 2024
Object Detection using Oriented Window Learning Vi-sion Transformer: Roadway Assets Recognition.
CoRR, 2024
Automated Question Generation for Science Tests in Arabic Language Using NLP Techniques.
CoRR, 2024
Question-Answering (QA) Model for a Personalized Learning Assistant for Arabic Language.
CoRR, 2024
Transformer Models in Education: Summarizing Science Textbooks with AraBART, MT5, AraT5, and mBART.
CoRR, 2024
CoRR, 2024
Eyeballing Combinatorial Problems: A Case Study of Using Multimodal Large Language Models to Solve Traveling Salesman Problems.
CoRR, 2024
Proceedings of the Advanced Information Networking and Applications, 2024
Proceedings of the Advanced Information Networking and Applications, 2024
2023
Effect of roundabout design on the behavior of road users: A case study of roundabouts with application of Unsupervised Machine Learning.
CoRR, 2023
How Do Drivers Behave at Roundabouts in a Mixed Traffic? A Case Study Using Machine Learning.
CoRR, 2023
Detection of DDoS Attacks in Software Defined Networking Using Machine Learning Models.
Proceedings of the 2023 International Conference on Advances in Computing Research, 2023
Credit Card Fraud Detection Using Enhanced Random Forest Classifier for Imbalanced Data.
Proceedings of the 2023 International Conference on Advances in Computing Research, 2023
2022
IEEE Trans. Intell. Transp. Syst., 2022
Network and station-level bike-sharing system prediction: a San Francisco bay area case study.
J. Intell. Transp. Syst., 2022
CoRR, 2022
IEEE Access, 2022
2021
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
2020
Deep Transfer Learning for Vulnerable Road Users Detection using Smartphone Sensors Data.
Remote. Sens., 2020
Developing a Novel Crowdsourcing Business Model for Micro-Mobility Ride-Sharing Systems: Methodology and Preliminary Results.
CoRR, 2020
Modeling bike counts in a bike-sharing system considering the effect of weather conditions.
CoRR, 2020
A Comparative Analysis of E-Scooter and E-Bike Usage Patterns: Findings from the City of Austin, TX.
CoRR, 2020
Ethics, Data Science, and Health and Human Services: Embedded Bias in Policy Approaches to Teen Pregnancy Prevention.
CoRR, 2020
2019
Smartphone Transportation Mode Recognition Using a Hierarchical Machine Learning Classifier and Pooled Features From Time and Frequency Domains.
IEEE Trans. Intell. Transp. Syst., 2019
Vulnerable Road User Detection Using Smartphone Sensors and Recurrence Quantification Analysis.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
2018
2017
Proceedings of the 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, 2017
Proceedings of the 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, 2017
Network-wide bike availability clustering using the college admission algorithm: A case study of San Francisco Bay area.
Proceedings of the 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, 2017