Huthaifa I. Ashqar

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 42

Top Topics

Machine Learning

Top Venues

IEEE Trans. Intell. Transp. Syst.

Publications

Mohammed Elhenawy, Ahmad Abutahoun, Taqwa I. Alhadidi, Ahmed Jaber, Huthaifa I. Ashqar, Shadi Jaradat, Ahmed Abdelhay, Sebastien Glaser, Andry Rakotonirainy
Visual Reasoning and Multi-Agent Approach in Multimodal Large Language Models (MLLMs): Solving TSP and mTSP Combinatorial Challenges. CoRR (2024)
Selvia Nafaa, Hafsa Essam, Karim Ashour, Doaa Emad, Rana Mohamed, Mohammed Elhenawy, Huthaifa I. Ashqar, Abdallah A. Hassan, Taqwa I. Alhadidi
Automated Pavement Cracks Detection and Classification Using Deep Learning. CoRR (2024)
Huthaifa I. Ashqar, Taqwa I. Alhadidi, Mohammed Elhenawy, Nour O. Khanfar
The Use of Multimodal Large Language Models to Detect Objects from Thermal Images: Transportation Applications. CoRR (2024)
Selvia Nafaa, Hafsa Essam, Karim Ashour, Doaa Emad, Rana Mohamed, Mohammed Elhenawy, Huthaifa I. Ashqar, Abdallah A. Hassan, Taqwa I. Alhadidi
Advancing Roadway Sign Detection with YOLO Models and Transfer Learning. CoRR (2024)
Mohammad Tami, Huthaifa I. Ashqar, Mohammed Elhenawy
Automated Question Generation for Science Tests in Arabic Language Using NLP Techniques. CoRR (2024)
Taqwa I. Alhadidi, Ahmed Jaber, Shadi Jaradat, Huthaifa I. Ashqar, Mohammed Elhenawy
Object Detection using Oriented Window Learning Vi-sion Transformer: Roadway Assets Recognition. CoRR (2024)
Hamdi Abu-Helo, Huthaifa I. Ashqar
Early Ransomware Detection System Based on Network Behavior. AINA (5) (2024)
Aysar Weshahi, Feras Dwaik, Mohammad Khouli, Huthaifa I. Ashqar, Amani M. Shatnawi, Mahmoud Elkhodr
IoT-Enhanced Malicious URL Detection Using Machine Learning. AINA (5) (2024)
Ahmad Radwan, Mohannad Amarneh, Hussam Alawneh, Huthaifa I. Ashqar, Anas M. R. Alsobeh, Aws Abed Al Raheem Magableh
Predictive Analytics in Mental Health Leveraging LLM Embeddings and Machine Learning Models for Social Media Analysis. Int. J. Web Serv. Res. 21 (1) (2024)
Mujahid I. Ashqer, Huthaifa I. Ashqar, Mohammed Elhenawy, Hesham A. Rakha, Marwan Bikdash
Traffic Estimation of Various Connected Vehicle Penetration Rates: Temporal Convolutional Network Approach. IEEE Trans. Intell. Transp. Syst. 25 (5) (2024)
Mohammad Sammoudi, Ahmad Habaybeh, Huthaifa I. Ashqar, Mohammed Elhenawy
Question-Answering (QA) Model for a Personalized Learning Assistant for Arabic Language. CoRR (2024)
Shadi Jaradat, Taqwa I. Alhadidi, Huthaifa I. Ashqar, Ahmed Hossain, Mohammed Elhenawy
Exploring Traffic Crash Narratives in Jordan Using Text Mining Analytics. CoRR (2024)
Sari Masri, Yaqeen Raddad, Fidaa Khandaqji, Huthaifa I. Ashqar, Mohammed Elhenawy
Transformer Models in Education: Summarizing Science Textbooks with AraBART, MT5, AraT5, and mBART. CoRR (2024)
Mohammed Elhenawy, Ahmed Abdelhay, Taqwa I. Alhadidi, Huthaifa I. Ashqar, Shadi Jaradat, Ahmed Jaber, Sebastien Glaser, Andry Rakotonirainy
Eyeballing Combinatorial Problems: A Case Study of Using Multimodal Large Language Models to Solve Traveling Salesman Problems. CoRR (2024)
Mohammad Abu Tami, Huthaifa I. Ashqar, Mohammed Elhenawy
Using Multimodal Large Language Models for Automated Detection of Traffic Safety Critical Events. CoRR (2024)
Ahmad Hamarshe, Huthaifa I. Ashqar, Mohammad Hamarsheh
Detection of DDoS Attacks in Software Defined Networking Using Machine Learning Models. ACR (2023)
Ahmad Hamarshe, Huthaifa I. Ashqar, Mohammad Hamarsheh
Detection of DDoS Attacks in Software Defined Networking Using Machine Learning Models. CoRR (2023)
AlsharifHasan Mohamad Aburbeian, Huthaifa I. Ashqar
Credit Card Fraud Detection Using Enhanced Random Forest Classifier for Imbalanced Data. CoRR (2023)
AlsharifHasan Mohamad Aburbeian, Huthaifa I. Ashqar
Credit Card Fraud Detection Using Enhanced Random Forest Classifier for Imbalanced Data. ACR (2023)
Tasnim M. Dwekat, Ayda A. Almsre, Huthaifa I. Ashqar
Effect of roundabout design on the behavior of road users: A case study of roundabouts with application of Unsupervised Machine Learning. CoRR (2023)
Farah Abu Hamad, Rama Hasiba, Deema Shahwan, Huthaifa I. Ashqar
How Do Drivers Behave at Roundabouts in a Mixed Traffic? A Case Study Using Machine Learning. CoRR (2023)
Yahya M. Tashtoush, Dirar A. Darweesh, Ghaith Husari, Omar A. Darwish, Yousef Darwish, Luai Bani Issa, Huthaifa I. Ashqar
Agile Approaches for Cybersecurity Systems, IoT and Intelligent Transportation. IEEE Access 10 (2022)
Huthaifa I. Ashqar, Mohammed Elhenawy, Hesham A. Rakha, Leanna House
Quality of Service Measure for Bike Sharing Systems. IEEE Trans. Intell. Transp. Syst. 23 (9) (2022)
Huthaifa I. Ashqar, Mohammed Elhenawy, Hesham A. Rakha, Mohammed H. Almannaa, Leanna House
Network and station-level bike-sharing system prediction: a San Francisco bay area case study. J. Intell. Transp. Syst. 26 (5) (2022)
Mujahid I. Ashqer, Huthaifa I. Ashqar, Mohammed Elhenawy, Mohammed H. Almannaa, Mohammad A. Aljamal, Hesham A. Rakha, Marwan Bikdash
Evaluating a Signalized Intersection Performance Using Unmanned Aerial Data. CoRR (2022)
Huthaifa I. Ashqar, Qadri H. Shaheen, Suleiman A. Ashur, Hesham A. Rakha
Impact of risk factors on work zone crashes using logistic models and Random Forest. CoRR (2021)
Mohammed Elhenawy, Md. Mostafizur Rahman Komol, Mahmoud Masoud, Shi Qiang Liu, Huthaifa I. Ashqar, Mohammed Hamad Almannaa, Hesham A. Rakha, Andry Rakotonirainy
A Novel Crowdsourcing Model for Micro-Mobility Ride-Sharing Systems. Sensors 21 (14) (2021)
Huthaifa I. Ashqar, Qadri H. Shaheen, Suleiman A. Ashur, Hesham A. Rakha
Impact of risk factors on work zone crashes using logistic models and Random Forest. ITSC (2021)
Huthaifa I. Ashqar, Mohammed Elhenawy, Mohammed H. Almannaa, Ahmed Ghanem, Hesham A. Rakha, Leanna House
Modeling bike availability in a bike-sharing system using machine learning. CoRR (2020)
Huthaifa I. Ashqar, Mohammed Elhenawy, Hesham A. Rakha
Modeling bike counts in a bike-sharing system considering the effect of weather conditions. CoRR (2020)
Huthaifa I. Ashqar, Mohammed Elhenawy, Hesham A. Rakha, Mohammed H. Almannaa, Leanna House
Network and Station-Level Bike-Sharing System Prediction: A San Francisco Bay Area Case Study. CoRR (2020)
Huthaifa I. Ashqar, Mohammed H. Almannaa, Mohammed Elhenawy, Hesham A. Rakha, Leanna House
Smartphone Transportation Mode Recognition Using a Hierarchical Machine Learning Classifier and Pooled Features From Time and Frequency Domains. CoRR (2020)
Huthaifa I. Ashqar, Mohammed Elhenawy, Mahmoud Masoud, Andry Rakotonirainy, Hesham A. Rakha
Vulnerable Road User Detection Using Smartphone Sensors and Recurrence Quantification Analysis. CoRR (2020)
Mohammed Hamad Almannaa, Huthaifa I. Ashqar, Mohammed Elhenawy, Mahmoud Masoud, Andry Rakotonirainy, Hesham Rakha
A Comparative Analysis of E-Scooter and E-Bike Usage Patterns: Findings from the City of Austin, TX. CoRR (2020)
Mohammed Elhenawy, Md. Mostafizur Rahman Komol, Huthaifa I. Ashqar, Mohammed Hamad Almannaa, Mahmoud Masoud, Hesham A. Rakha, Andry Rakotonirainy
Developing a Novel Crowdsourcing Business Model for Micro-Mobility Ride-Sharing Systems: Methodology and Preliminary Results. CoRR (2020)
Mohammed Elhenawy, Huthaifa I. Ashqar, Mahmoud Masoud, Mohammed H. Almannaa, Andry Rakotonirainy, Hesham A. Rakha
Deep Transfer Learning for Vulnerable Road Users Detection using Smartphone Sensors Data. Remote. Sens. 12 (21) (2020)
Davon Woodard, Huthaifa I. Ashqar, Taoran Ji
Ethics, Data Science, and Health and Human Services: Embedded Bias in Policy Approaches to Teen Pregnancy Prevention. CoRR (2020)
Huthaifa I. Ashqar, Mohammed Elhenawy, Mahmoud Masoud, Andry Rakotonirainy, Hesham A. Rakha
Vulnerable Road User Detection Using Smartphone Sensors and Recurrence Quantification Analysis. ITSC (2019)
Huthaifa I. Ashqar, Mohammed H. Almannaa, Mohammed Elhenawy, Hesham A. Rakha, Leanna House
Smartphone Transportation Mode Recognition Using a Hierarchical Machine Learning Classifier and Pooled Features From Time and Frequency Domains. IEEE Trans. Intell. Transp. Syst. 20 (1) (2019)
Mohammed H. Almannaa, Mohammed Elhenawy, Ahmed Ghanem, Huthaifa I. Ashqar, Hesham A. Rakha
Network-wide bike availability clustering using the college admission algorithm: A case study of San Francisco Bay area. MT-ITS (2017)
Huthaifa I. Ashqar, Mohammed Elhenawy, Mohammed H. Almannaa, Ahmed Ghanem, Hesham A. Rakha, Leanna House
Modeling bike availability in a bike-sharing system using machine learning. MT-ITS (2017)
Ahmed Ghanem, Mohammed Elhenawy, Mohammed H. Almannaa, Huthaifa I. Ashqar, Hesham A. Rakha
Bike share travel time modeling: San Francisco bay area case study. MT-ITS (2017)