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ORCIDMohammed H. Almannaa
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2020 – today
- 2022
[j6]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)- [i6]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
- [j5]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) - 2020
- [j4]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) - [j3]Mohammed H. Almannaa, Mohammed Elhenawy, Hesham A. Rakha:
A Novel Supervised Clustering Algorithm for Transportation System Applications. IEEE Trans. Intell. Transp. Syst. 21(1): 222-232 (2020) - [i5]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) - [i4]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) - [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
- [b1]Mohammed Hamad Almannaa:
Optimizing Bike Sharing Systems: Dynamic Prediction Using Machine Learning and Statistical Techniques and Rebalancing. Virginia Tech, Blacksburg, VA, USA, 2019 - [j2]Mahmoud Masoud, Mohammed Elhenawy, Mohammed H. Almannaa, Shi Qiang Liu, Sebastien Glaser, Andry Rakotonirainy:
Heuristic Approaches to Solve E-Scooter Assignment Problem. IEEE Access 7: 175093-175105 (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) - [c6]Mohammed H. Almannaa, Mohammed Elhenawy, Mahmoud Masoud, Hesham A. Rakha:
A New Mathematical Approach to Solve Bike Share System Station Imbalances Based On Portable Stations. ITSC 2019: 1721-1726 - [c5]Mahmoud Masoud, Mohammed Elhenawy, Mohammed H. Almannaa, Shi Qiang Liu, Sebastien Glaser, Andry Rakotonirainy:
Optimal Assignment of e-scooter to Chargers. ITSC 2019: 4204-4209 - 2018
- [c4]Mohammed H. Almannaa, Mohammed Elhenawy, Feng Guo, Hesham A. Rakha:
Incremental Learning Models of Bike Counts at Bike Sharing Systems. ITSC 2018: 3712-3717 - 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
aka: Hesham Rakha
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