Name: Ibrahim Elgendy
Type: User
Company: Menoufia University
Bio: I'm an Assistant Professor in the Computer Science Department. My research interests include cloud and edge computing, Internet of Things, and Machine Learning.
Location: Menoufia, Egypt
Ibrahim Elgendy's Projects
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Simulation code for the book “Optimal Resource Allocation in Coordinated Multi-Cell Systems” by Emil Björnson and Eduard Jorswieck, Foundations and Trends in Communications and Information Theory, vol. 9, no. 2-3, pp. 113-381, 2013
A DDPG based reinforcement learning algorithm for cognitive radio inspired non-orthogonal multiple access (CR-NOMA) systems
List of Computer Science courses with video lectures.
Data Structure And Algorithms Made Easy In Java
Data Structures And Algorithms Made Easy
Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks
Contains files related to content and project of DSND
Dataset for IoT, Fog and Edge-based experiments
Edge and CloudSim Java Code
Simulate the real environment, perform edge computing, edge caching experiments
This code computes the energy consumption in the downlink of a single-cell multi-user MIMO system in which the base station (BS) makes use of N antennas to communicate with K single-antenna user equipments (UEs). The UEs move around in the cell according to a random walk mobility model.
Operations Research Application Project - Flow Shop Scheduling Based On Reinforcement Learning Algorithm
Graphstream algo
嗨!thesis!哈尔滨工业大学毕业论文LaTeX模板
Simulation code for “How Energy-Efficient Can a Wireless Communication System Become?” by Emil Björnson, Erik G. Larsson, Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2018.
Ibrahim Elgendy Personal Website
Implementation of submitted papers about Mobile Edge Computing (MEC).
Course 1: Intro to Data Analysis
A collection of IPython notebooks covering various topics.
Package provides java implementation of reinforcement learning algorithms such Q-Learn, R-Learn, SARSA, Actor-Critic
Evoluationay Algorithms Project: Learning-Based Queuing Delay-Aware Task Offloading in Collaborative Vehicular Networks
Multi-Agent Deep Reinforcement Learning for Task Offloading in GDMSs
Deep reinforcement learning for mobile edge computing