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MohammedAbuibaid's Projects

4901-capstone2020 icon 4901-capstone2020

For Carleton School of Information Technology. NET 4901 - Network Technology Project. Team #7 - Edge Device Management

adversarial-robustness-toolbox icon adversarial-robustness-toolbox

Python library for adversarial machine learning, attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support

azure_storage icon azure_storage

This is the companion source code repository for Azure Storage, Streaming, and Batch Analytics, by Richard Nuckolls.

dataset icon dataset

Open RadioML Synthetic Benchmark Dataset

deeplearning-coordinatedbeamforming icon deeplearning-coordinatedbeamforming

Simulation code for "Deep Learning Coordinated Beamforming for Highly-Mobile Millimeter Wave Systems" by Ahmed Alkhateeb, Sam Alex, Paul Varkey, Ying Li, Qi Qu, and Djordje Tujkovic, in IEEE Access, vol. 6, pp. 37328-37348, 2018.

deepmimo-codes icon deepmimo-codes

DeepMIMO dataset and codes for mmWave and massive MIMO applications

doa-release icon doa-release

A Direction-of-Arrival estimation code repo accompanying our research paper.

dockerrml icon dockerrml

Docker images set up with tools for radio & machine learning tasks

droo icon droo

Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks

dsefix icon dsefix

Windows x64 Driver Signature Enforcement Overrider

energyefficientmassivemimo_uld icon energyefficientmassivemimo_uld

This repo contains the simulation and analysis code used in the research paper "Energy-efficient massive MIMO system: Exploiting user location distribution variation" by Mohammed A. Abuibaid and Sultan Aldırmaz Çolak, published in the AEU - International Journal of Electronics and Communications

expressive-resume icon expressive-resume

A beautiful resume/cover letter LaTeX template pair that are extraordinarily easy to use.

gr-specmonitor icon gr-specmonitor

This repository includes all the code developed for RF signal classification in the context of the H2020 EU ORCA project

kernelbhop icon kernelbhop

Cheat that uses a driver instead WinAPI for Reading / Writing memory.

labs icon labs

This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.

massivemimobook icon massivemimobook

Book PDF and simulation code for the monograph "Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency" by Emil Björnson, Jakob Hoydis and Luca Sanguinetti, published in Foundations and Trends in Signal Processing, 2017.

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