abodedaniel Goto Github PK

abodedaniel.github.io

brevitas-radioml-challenge-21

classification-of-hand-written-digit-using-cnn-with-keras

This repository contains the lab work I had in my course on Machine Learning. Using Convolutional Neural Network, we classified hand written digits from the MNIST dataset. The repository contains both the code and the pratical report.

colab_notebooks

Semi supervised node classification and Explanaibility

dca

Dynamic channel allocation in cellular networks by reinforcement learning

deep-learning

Course: Deep Learning

ellipitical-blob-counter-with-cnn

git_try

gnn-resource-management

gnn_pathplanning

Graph Neural Networks for Decentralized Path Planning

handwritten-digit-classification-using-k-means-clustering-and-hierachical-clustering

This practical is about classification of handwritten digits by two different clustering method; Kmeans and Hierarchical Clustering. The data set use was gotten from UC Irvine ML Repository.

home-automation-and-sensing-

ibm-federated-learning-lib

A library for federated learning (a distributed machine learning process) in an enterprise environment.

ir-net

This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.

irestnet

Deep unfolded proximal interior point algorithm

iris-plant-classification-with-pytorch

The goal of this model is to classify 3 iris plants based on 4 input features (sepal length, sepal width, petal length, petal width). This is a multiclass classification of 3 Iris plants (Iris Setosa, Iris Virginica, Iris Versicolor). Hence, the output layer will have 3 neurons.

ofdm_gfdm_simulation_matlab

This repository contains code for OFDM and GFDM transmitter and receiver, a user interface and a comprehensive report

openairinterface5g

OpenAirInterface RAN

paper-with-code-of-wireless-communication-based-on-dl

无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL

papr-reduction-in-ofdm-using-selective-mapping-technique

This repository contains a MATLAB code comparing a conventional OFDM implementation and a modified OFDM system that uses Selective Mapping Techniques to reduce Peak to Average Power Ratio PAPR

pcnet-epcnet

rethinking-gnn-for-graph-coloring

Graph Neural Network architecture to solve the decision version of the graph coloring problem (GCP)

ristorantewebsite

This is for the restaurant website I built during cousera course

signal-estimation-and-processing

The purpose of the laboratory practical was to gain knowledge on the basics of MATLAB and its application to Statistical Signal Processing. The experiment was divided into two parts; the first part was on basics of MATLAB and its application to signal processing problems, the second part was on Speech processing using MATLAB. In the first chapter, after getting acquainted with basic matlab programming concepts, we proceeded to generating noise using the rand() and randn() functions. The concept of linear estimation was modelled to estimate the message in a signal corrupted by noise and the designed estimators were compared and justified to satisfy the Cramer-Rao Lower Bound theorem. In addition, a non linear estimation techniques; Least-Square criterion was developed to estimate the variables in a sum of sinusoidal signal corrupted by noise. The second chapter covered parameter estimation of an AR process. A sound signal was analyzed and a sample of the sound signal was synthesized and compared with the recorded sound signal.

taxi_fare_reg_model

This project considers the application of ANN to a regression problem of estimating taxi fare base on input features such as pickup datetime, pcikup location(latitude and longitude), dropoff location, and Number of Passengers

tsp-dnn

Training Deep Neural Networks for Wireless Resource Management

userassociation_3gppsmallcell

This repository consists of codes for the Policy based User Association method that is being developed

uwb-matlab-code

This repository contains a MATLAB code simulating an Ultra Wide Band Communication System.

waterlevelmonitorapp

This is an MIT app inventor project for collecting water level data from thingspeak cloud