activity
20192024
most citedHybrid Pointer Networks for Traveling Salesman Problems Optimization

20 citations · 33 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2024★ 2 cited

Exploring Combinatorial Problem Solving with Large Language Models: A Case Study on the Travelling Salesman Problem Using GPT-3.5 Turbo

Mahmoud Masoud, Ahmed Abdelhay, Mohammed Elhenawy

Large Language Models (LLMs) are deep learning models designed to generate text based on textual input. Although researchers have been developing these models for more complex task…

cs.LG2021★ 20 cited

Hybrid Pointer Networks for Traveling Salesman Problems Optimization

Ahmed Stohy, Heba-Tullah Abdelhakam, Sayed Ali +5

In this work, a novel idea is presented for combinatorial optimization problems, a hybrid network, which results in a superior outcome. We applied this method to graph pointer netw…

cs.CY2020

Developing a Novel Crowdsourcing Business Model for Micro-Mobility Ride-Sharing Systems: Methodology and Preliminary Results

Mohammed Elhenawy, MD Mostafizur Rahman Komol, Huthaifa I. Ashqar +4

Micro-mobility ride-sharing is an emerging technology that provides access to the transit system with minimum environmental impacts. Significant research is required to ensure that…

cs.CY2020★ 10 cited

Vulnerable Road User Detection Using Smartphone Sensors and Recurrence Quantification Analysis

Huthaifa I. Ashqar, Mohammed Elhenawy, Mahmoud Masoud +2

With the fast advancements of the Autonomous Vehicle (AV) industry, detection of Vulnerable Road Users (VRUs) using smartphones is critical for safety applications of Cooperative I…

cs.CY2020★ 1 cited

A Comparative Analysis of E-Scooter and E-Bike Usage Patterns: Findings from the City of Austin, TX

Mohammed Hamad Almannaa, Huthaifa I. Ashqar, Mohammed Elhenawy +3

E-scooter-sharing and e-bike-sharing systems are accommodating and easing the increased traffic in dense cities and are expanding considerably. However, these new micro-mobility tr…

cs.LG2019

Topological Stability: a New Algorithm for Selecting The Nearest Neighbors in Non-Linear Dimensionality Reduction Techniques

Mohammed Elhenawy, Mahmoud Masoud, Sebastian Glaser +1

In the machine learning field, dimensionality reduction is an important task. It mitigates the undesired properties of high-dimensional spaces to facilitate classification, compres…