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JUDITH NJOKU's Projects

sensorplacement icon sensorplacement

Matlab Code used in the paper: Sensor placement by maximal projection on minimum eigenspace for linear inverse problems, IEEE-TSP, 2016

si-transfer icon si-transfer

Transfer learning across multiple types of space invader type games with OpenAI Gym

singal-cnn icon singal-cnn

An implementation of "Convolutional Radio Modulation Recognition Networks"

smart-garbage-management-system icon smart-garbage-management-system

Proposed Solution: We propose a smart Wireless Garbage Bin equipped with LoRa RF and IoT technologies to solve this emerging issue in City/Town sanitation sector. Each Garbage Bin will be equipped with level and weight sensor along with GPS position information in case of any mobility. All data will be sent through LoRa/RF communication "Smart Mesh" link to central server where it can be made available through mobile app to Sanitation workers for quick response and effective collection and disposal of garbage. Efficient route calculation for garbage collector van is also proposed for minimising the efforts in collection.

smart-weather-monitoring-and-real-time-alert-system-using-iot icon smart-weather-monitoring-and-real-time-alert-system-using-iot

The proposed embedded device is for monitoring Temperature, Humidity, light intensity and in the atmosphere to make the environment intelligent or interactive with the objects through wireless communication. The proposed model is more adaptable and distributive in nature to monitor the environmental parameters.

sparsifiedkmeans icon sparsifiedkmeans

KMeans for big data using preconditioning and sparsification, Matlab implementation

sspor_pub icon sspor_pub

This repository contains Matlab code to reproduce results for the sparse sensor placement optimization for reconstruction (SSPOR) algorithm.

state-space-library icon state-space-library

Library of MATLAB functions for modeling SISO and MIMO linear systems in state space form. Includes functions to generate step, impulse, and arbitrary responses, as well as Bode diagrams. Of course, MATLAB has more capable and robust functions built into various toolboxes. I wrote these solely as a learning exercise.

stylegan icon stylegan

StyleGAN - Official TensorFlow Implementation

svm-cnn icon svm-cnn

A feature extractor based on Python 3, Tensorflow and Scikit-learn created in order to improve the accuracy of SVM to classify MNIST dataset fast and with more accuracy.

swae icon swae

Implementation of the Sliced Wasserstein Autoencoders

tdl icon tdl

Course "Theories of Deep Learning"

textworld icon textworld

​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.

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