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Huthaifa I. Ashqar
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2020 – today
- 2024
- [j8]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) - [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) - [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 - 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 Hamarsheh:
Detection of DDoS Attacks in Software Defined Networking Using Machine Learning Models. ACR 2023: 640-651 - [i14]Ahmad Hamarshe, Huthaifa I. Ashqar, Mohammad 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 - 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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last updated on 2024-06-29 02:30 CEST by the dblp team
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