segregation

Segregation Measurement, Inferential Statistics, and Decomposition Analysis

R package to calculate entropy-based segregation indices, with a focus on the Mutual Information Index (M) and Theil’s Information Index (H)

Segregation and homophily measurement in social networks

Urban highways are barriers to social ties: Open source data and code for the research paper

Polydisperse material point method

Geographical version of Schelling's model of Segregation. It is built with PyQt5 and PyQtGraph

🗺 Official repository for the QGIS plugin Segreg: A plugin for computing several spatial segregation measures in QGIS

Schelling's model of segregation implemented in Javascript.

TurboBus is an opinionated implementation of Command Responsibility Segregation pattern in python.

Model of Urban Green Spaces

Website repository for discussing the phenomenon of residential segregation in Latin America and Chile - city ​​of Concepción within the framework of the thesis project

An AI and IoT-based system that automates waste segregation and real-time bin monitoring for smarter waste management.

R code to animate the Shelling model of segregation

The aim of this work is to develop an engine which uses modern artificial intelligence approach, deep learning and computer vision to automatically classify the waste into plastic or non-plastic.

A CLI tool to organize files by type and creation year. Only images are organized by creation time.

A simple bash script to segregate all the files in a single directory into different subfolders based on their extension

Waste Segregator Bot

This autonomous robot will collect the floating trashes and segregate the waste according to object Classification Technique. Robot also contain the solar panel for saving the battery. This makes cleaning of lakes and ponds easier and the water can be used for human consumption, thus water scarcity can be reduced.

This project involves training a machine learning model to classify images of waste materials as either recyclable or non-recyclable. Using a dataset of labeled waste images, the model is trained with image classification techniques, such as Convolutional Neural Networks (CNNs), to accurately categorize waste.