1 code implementation • 6 Oct 2021 • Ahmed Stohy, Heba-Tullah Abdelhakam, Sayed Ali, Mohammed Elhenawy, Abdallah A Hassan, Mahmoud Masoud, Sebastien Glaser, Andry Rakotonirainy
Our network significantly outperforms the original graph pointer network for small and large-scale problems increasing its performance for TSP50 from 5. 959 to 5. 706 without utilizing 2opt, Pointer networks, Attention model, and a wide range of models, producing results comparable to highly tuned and specialized algorithms.
Ranked #1 on Traveling Salesman Problem on TSPLIB
no code implementations • 15 Aug 2020 • Md Mostafizur Rahman Komol, Jack Pinnow, Mohammed Elhenawy, Shamsunnahar Yasmin, Mahmoud Masoud, Sebastien Glaser, Andry Rakotonirainy
Red light running at signalised intersections is a growing road safety issue worldwide, leading to the rapid development of advanced intelligent transportation technologies and countermeasures.
no code implementations • 13 Jun 2020 • Huthaifa I. Ashqar, Mohammed Elhenawy, Hesham A. Rakha
The paper develops a method that quantifies the effect of weather conditions on the prediction of bike station counts in the San Francisco Bay Area Bike Share System.
no code implementations • 12 Jun 2020 • Huthaifa I. Ashqar, Mohammed H. Almannaa, Mohammed Elhenawy, Hesham A. Rakha, Leanna House
This paper develops a novel two-layer hierarchical classifier that increases the accuracy of traditional transportation mode classification algorithms.
no code implementations • 12 Jun 2020 • Huthaifa I. Ashqar, Mohammed Elhenawy, Mahmoud Masoud, Andry Rakotonirainy, Hesham A. Rakha
RQA features are added to traditional time domain features to investigate the classification accuracy when using binary, four-class, and five-class Random Forest classifiers.
no code implementations • 12 Jun 2020 • Huthaifa I. Ashqar, Mohammed Elhenawy, Mohammed H. Almannaa, Ahmed Ghanem, Hesham A. Rakha, Leanna House
The univariate models were used to model the number of available bikes at each station.
no code implementations • 7 Jun 2020 • Mohammed Hamad Almannaa, Huthaifa I. Ashqar, Mohammed Elhenawy, Mahmoud Masoud, Andry Rakotonirainy, Hesham Rakha
Results also show a similar usage pattern for the average speed of e-bikes and e-scooters throughout the days of the week and a different usage pattern for the average speed of e-bikes and e-scooters over the hours of the day.
no code implementations • 13 Nov 2019 • Mohammed Elhenawy, Mahmoud Masoud, Sebastian Glaser, Andry Rakotonirainy
The proposed algorithm then adds new points to the two nearest neighbours based on the distance and the angle between each new point and the orthogonal to the subspace.
no code implementations • 7 Nov 2019 • Mohammed Elhenawy, Arash Jahangiri, Hesham Rakha
The RF was used to compute the importance of the lane width predictors in our regression model based on two different measures.
no code implementations • 12 Oct 2019 • Ayman Wagdy, Veronica Garcia-Hansen, Mohammed Elhenawy, Gillian Isoardi, Robin Drogemuller, Fatma Fathy
This research aims to demonstrate the validity of this approach by comparing the accuracy of the new ML model for open-plan offices (OGE) to the accuracy of the existing glare metrics using local dataset.