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ORCIDHuthaifa I. Ashqar
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2020 – today
- 2025
[j11]Shadi Jaradat, Mohammed Elhenawy, Huthaifa I. Ashqar, Alexander Paz, Richi Nayak:
Leveraging Deep Learning and Multimodal Large Language Models for Near-Miss Detection Using Crowdsourced Videos. IEEE Open J. Comput. Soc. 6: 223-235 (2025)- [i41]Ayat A. Najjar, Huthaifa I. Ashqar, Omar A. Darwish, Eman Hammad:
Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity. CoRR abs/2501.03203 (2025) - [i40]Ayat Najjar, Huthaifa I. Ashqar, Omar A. Darwish, Eman Hammad:
Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text. CoRR abs/2501.03212 (2025) - [i39]Mohammed Elhenawy, Huthaifa I. Ashqar, Andry Rakotonirainy, Taqwa I. Alhadidi, Ahmed Jaber, Mohammad Abu Tami:
Vision-Language Models for Autonomous Driving: CLIP-Based Dynamic Scene Understanding. CoRR abs/2501.05566 (2025) - 2024
- [j10]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): 1-22 (2024) - [j9]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. Mach. Learn. Knowl. Extr. 6(3): 1894-1921 (2024) - [j8]Fahed H. Salahat, Hayder A. Rasheed, Huthaifa I. Ashqar:
ML-CCD: machine learning model to predict concrete cover delamination failure mode in reinforced concrete beams strengthened with FRP sheets. Softw. Impacts 21: 100685 (2024) - [j7]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): 4326-4334 (2024) - [c9]Hamdi Abu-Helo, Huthaifa I. Ashqar:
Early Ransomware Detection System Based on Network Behavior. AINA (5) 2024: 447-458 - [c8]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: 470-482 - [i38]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 abs/2406.06865 (2024) - [i37]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 abs/2406.07674 (2024) - [i36]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 abs/2406.07692 (2024) - [i35]Mohammad Sammoudi, Ahmad Habaybeh, Huthaifa I. Ashqar, Mohammed Elhenawy:
Question-Answering (QA) Model for a Personalized Learning Assistant for Arabic Language. CoRR abs/2406.08519 (2024) - [i34]Mohammad Abu Tami, Huthaifa I. Ashqar, Mohammed Elhenawy:
Automated Question Generation for Science Tests in Arabic Language Using NLP Techniques. CoRR abs/2406.08520 (2024) - [i33]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 abs/2406.09437 (2024) - [i32]Shadi Jaradat, Taqwa I. Alhadidi, Huthaifa I. Ashqar, Ahmed Hossain, Mohammed Elhenawy:
Exploring Traffic Crash Narratives in Jordan Using Text Mining Analytics. CoRR abs/2406.09438 (2024) - [i31]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 abs/2406.10712 (2024) - [i30]Mohammad Abu Tami, Huthaifa I. Ashqar, Mohammed Elhenawy:
Using Multimodal Large Language Models for Automated Detection of Traffic Safety Critical Events. CoRR abs/2406.13894 (2024) - [i29]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 abs/2406.13898 (2024) - [i28]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 abs/2407.00092 (2024) - [i27]Sari Masri, Huthaifa I. Ashqar, Mohammed Elhenawy:
Leveraging Large Language Models (LLMs) for Traffic Management at Urban Intersections: The Case of Mixed Traffic Scenarios. CoRR abs/2408.00948 (2024) - [i26]Huthaifa I. Ashqar, Ahmed Jaber, Taqwa I. Alhadidi, Mohammed Elhenawy:
Advancing Object Detection in Transportation with Multimodal Large Language Models (MLLMs): A Comprehensive Review and Empirical Testing. CoRR abs/2409.18286 (2024) - [i25]Alrick Green, Ayesha Nasim, Jaydeep Radadia, Devi Manaswi Kallam, Viswas Kalyanam, Samfred Owenga, Huthaifa I. Ashqar:
Identifying Economic Factors Affecting Unemployment Rates in the United States. CoRR abs/2411.02374 (2024) - [i24]Hafsa Chaudhry, Hetvi Patel, Sai Teja Avadhootha, Sushanthik Reddy Poreddy, Swapan Gupta Chollati, Ujwala Namineni, Huthaifa I. Ashqar:
The Relationship Between Smartphone Usage and Sleep Quality Amongst University Students. CoRR abs/2411.02388 (2024) - [i23]Hala Algrain, Elizabeth Cardosa, Shekha Desai, Eugene Fong, Tanguy Ringoir, Huthaifa I. Ashqar:
The Impact of Medicaid Expansion on Medicare Quality Measures. CoRR abs/2411.03140 (2024) - [i22]Ujjwal, Shikha C. Patel, Bansari K. Shah, Nicholas Ogbonna, Huthaifa I. Ashqar:
Analysis of Droughts and Their Intensities in California from 2000 to 2020. CoRR abs/2411.04303 (2024) - [i21]Ben Chen, Rohit Mokashi, Mamata Khadka, Robert Reyes, Huthaifa I. Ashqar:
Influential Factors in Increasing an Amazon products Sales Rank. CoRR abs/2411.04305 (2024) - [i20]Jorge Neyra, Vishal B. Siramshetty, Huthaifa I. Ashqar:
The effect of different feature selection methods on models created with XGBoost. CoRR abs/2411.05937 (2024) - [i19]Joanne Choi, Sam Clark, Ranjan Jaiswal, Peter Kirk, Sachin Jayaraman, Huthaifa I. Ashqar:
When to Commute During the COVID-19 Pandemic and Beyond: Analysis of Traffic Crashes in Washington, D.C. CoRR abs/2411.05957 (2024) - [i18]Sari Masri, Huthaifa I. Ashqar, Mohammed Elhenawy:
Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm. CoRR abs/2411.10869 (2024) - [i17]Max Grody, Sandeep Bansal, Huthaifa I. Ashqar:
Optimizing Daily Fantasy Baseball Lineups: A Linear Programming Approach for Enhanced Accuracy. CoRR abs/2411.11012 (2024) - [i16]Neftalem Negussie, Addis Yesserie, Chinchu Harris, Abou Keita, Huthaifa I. Ashqar:
Flood Risk Assessment of the National Harbor at Maryland, United States. CoRR abs/2411.11014 (2024) - [i15]Jhancy Amarsingh, Likhith Kumar Reddy Appakondreddigari, Ashish Nunna, Charishma Choudary Tummala, John Winship, Alex Zhou, Huthaifa I. Ashqar:
An Investigation of the Relationship Between Crime Rate and Police Compensation. CoRR abs/2411.14632 (2024) - 2023
- [c7]AlsharifHasan Mohamad Aburbeian, Huthaifa I. Ashqar:
Credit Card Fraud Detection Using Enhanced Random Forest Classifier for Imbalanced Data. ACR 2023: 605-616 - [c6]Ahmad Hamarshe, Huthaifa I. Ashqar, Mohammad M. N. Hamarsheh:
Detection of DDoS Attacks in Software Defined Networking Using Machine Learning Models. ACR 2023: 640-651 - [i14]Ahmad Hamarshe, Huthaifa I. Ashqar, Mohammad M. N. Hamarsheh:
Detection of DDoS Attacks in Software Defined Networking Using Machine Learning Models. CoRR abs/2303.06513 (2023) - [i13]AlsharifHasan Mohamad Aburbeian, Huthaifa I. Ashqar:
Credit Card Fraud Detection Using Enhanced Random Forest Classifier for Imbalanced Data. CoRR abs/2303.06514 (2023) - [i12]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 abs/2309.13442 (2023) - [i11]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 abs/2309.14540 (2023) - 2022
- [j6]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: 1360-1375 (2022) - [j5]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): 602-612 (2022) - [j4]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): 15841-15849 (2022) - [i10]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 abs/2207.08025 (2022) - 2021
- [j3]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): 4636 (2021) - [c5]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: 1815-1820 - [i9]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 abs/2104.06561 (2021) - 2020
- [j2]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): 3508 (2020) - [i8]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 abs/2006.04029 (2020) - [i7]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 abs/2006.04033 (2020) - [i6]Huthaifa I. Ashqar, Mohammed Elhenawy, Mahmoud Masoud, Andry Rakotonirainy, Hesham A. Rakha:
Vulnerable Road User Detection Using Smartphone Sensors and Recurrence Quantification Analysis. CoRR abs/2006.06941 (2020) - [i5]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 abs/2006.06945 (2020) - [i4]Huthaifa I. Ashqar, Mohammed Elhenawy, Hesham A. Rakha:
Modeling bike counts in a bike-sharing system considering the effect of weather conditions. CoRR abs/2006.07563 (2020) - [i3]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 abs/2006.08352 (2020) - [i2]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 abs/2007.15585 (2020) - [i1]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 abs/2009.09367 (2020)
2010 – 2019
- 2019
- [j1]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): 244-252 (2019) - [c4]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: 1054-1059 - 2018
- [b1]Huthaifa I. Ashqar:
Strategic Design of Smart Bike-Sharing Systems for Smart Cities. Virginia Tech, Blacksburg, VA, USA, 2018 - 2017
- [c3]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: 374-378 - [c2]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: 580-585 - [c1]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: 586-591
Coauthor Index
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