yassirajalil's repositories
5gm-data
Datasets and code for machine learning in 5G mmWave MIMO systems involving mobility (5GMdata)
Automatic-Modulation-Classification
Some Code for Master Thesis - Research on Deep Learning Based Modulation Recognition Technologies
Awesome-Cellular-Hacking
Awesome-Cellular-Hacking
Bandswitch-DeepMIMO
Code for my publication: Deep Learning Predictive Band Switching in Wireless Networks. Paper under review.
Begin-Latex-in-minutes
📜 Brief Intro to LaTeX for beginners that helps you use LaTeX with ease.
cell-free-book
Simulation code for the monograph "Foundations of User-Centric Cell-Free Massive MIMO" by Özlem Tugfe Demir, Emil Björnson and Luca Sanguinetti, published in Foundations and Trends in Signal Processing, 2021.
contiki-ng
Contiki-NG: The OS for Next Generation IoT Devices
Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
dlbook_exercises
Exercises for the Deep Learning textbook at www.deeplearningbook.org
DRL-for-microgrid-energy-management
We study the performance of various deep reinforcement learning algorithms for the problem of microgrid’s energy management system. We propose a novel microgrid model that consists of a wind turbine generator, an energy storage system, a population of thermostatically controlled loads, a population of price-responsive loads, and a connection to the main grid. The proposed energy management system is designed to coordinate between the different sources of flexibility by defining the priority resources, the direct demand control signals and the electricity prices. Seven deep reinforcement learning algorithms are implemented and empirically compared in this paper. The numerical results show a significant difference between the different deep reinforcement learning algorithms in their ability to converge to optimal policies. By adding an experience replay and a second semi-deterministic training phase to the well-known Asynchronous advantage actor critic algorithm, we achieved considerably better performance and converged to superior policies in terms of energy efficiency and economic value.
Energy-Efficiency-in-Reinforcement-Learning
Code for the paper 'Energy Efficiency in Reinforcement Learning for Wireless Sensor Networks'
Internet-of-Things-Projects-with-ESP32
Hands-On Internet of things with ESP32, published by Packt
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
line-solver
LINE - Performance and Reliability Analysis Engine
machine-learning-for-telecommunications
A base solution that helps to generate insights from their data. The solution provides a framework for an end-to-end machine learning process including ad-hoc data exploration, data processing and feature engineering, and modeling training and evaluation. This baseline will provide the foundation for industry specific data to be applied and models created to release industry specific ML solutions.
matlab-with-python
Files demonstrating MATLAB and Python interoperability
Modulation-Classification-Deep-Learning-CNNs-
Deep Learning models to classify modulation techniques used in signals from DeepSig Dataset: RadioML 2016.04C
neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
Next-Generation-5G-OFDM-Based-Modulations
Compilation of the different MATLAB codes that were used for the experimental part of the research work presented in the article "Next Generation 5G OFDM-Based Modulations for Intensity Modulation-Direct Detection (IM-DD) Optical Fronthauling".
paper-tips-and-tricks
Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.
RTLSDR-Scanner
A cross platform Python frequency scanning GUI for the OsmoSDR rtl-sdr library
t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Thesis_Code_Automatic-Modulation-Classification
Implementation of various Machine Learning Classifiers for my thesis 'Machine Learning Techniques for Automatic Modulation Classification'
Utilizing-SURF-Features-and-KLT-Tracking-Algorithm-in-Augmented-Reality-AR-Using-Kinect-V.-2-with
Utilizing SURF Features and KLT Tracking Algorithm in Augmented Reality (AR), Using Kinect V. 2 with the Aim of Autism Therapy