Huthaifa I. Ashqar

Orcid: 0000-0002-6835-8338

According to our database1, Huthaifa I. Ashqar authored at least 35 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Traffic Estimation of Various Connected Vehicle Penetration Rates: Temporal Convolutional Network Approach.
IEEE Trans. Intell. Transp. Syst., May, 2024

Predictive Analytics in Mental Health Leveraging LLM Embeddings and Machine Learning Models for Social Media Analysis.
Int. J. Web Serv. Res., 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

Exploring Traffic Crash Narratives in Jordan Using Text Mining Analytics.
CoRR, 2024

Advancing Roadway Sign Detection with YOLO Models and Transfer Learning.
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

Automated Pavement Cracks Detection and Classification Using Deep Learning.
CoRR, 2024

Eyeballing Combinatorial Problems: A Case Study of Using Multimodal Large Language Models to Solve Traveling Salesman Problems.
CoRR, 2024

IoT-Enhanced Malicious URL Detection Using Machine Learning.
Proceedings of the Advanced Information Networking and Applications, 2024

Early Ransomware Detection System Based on Network Behavior.
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 (ACR'23), 2023

Credit Card Fraud Detection Using Enhanced Random Forest Classifier for Imbalanced Data.
Proceedings of the 2023 International Conference on Advances in Computing Research (ACR'23), 2023

2022
Quality of Service Measure for Bike Sharing Systems.
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

Evaluating a Signalized Intersection Performance Using Unmanned Aerial Data.
CoRR, 2022

Agile Approaches for Cybersecurity Systems, IoT and Intelligent Transportation.
IEEE Access, 2022

2021
A Novel Crowdsourcing Model for Micro-Mobility Ride-Sharing Systems.
Sensors, 2021

Impact of risk factors on work zone crashes using logistic models and Random Forest.
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
Strategic Design of Smart Bike-Sharing Systems for Smart Cities.
PhD thesis, 2018

2017
Bike share travel time modeling: San Francisco bay area case study.
Proceedings of the 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, 2017

Modeling bike availability in a bike-sharing system using machine learning.
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


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