Система для поиска незаконных лесных выработок в заповедных зонах. Решение для Zoohackathon. 3 место

This is an adaption of the Sylvaccess app for in QGIS use

A function that can convert beam profiles to an equivalent I-profile, based on several distinct properties. WIP

I implemented the Random Forest Classifier in both Python and R

Python package for implementing individual-based forest models

Quantum mechanical 8-sided dice

Build disaster response pipelines with the message data from Figure Eight. A ETL pipeline was built to process the message data from major natural disasters around the world. A ML pipeline was built to categorize these events according to the messages. A web app was set up to visualize the data and classify the message after typing in.

This project aims to predict the occurrence of forest fires using machine learning. The project includes a Flask-based application that serves both backend (for model training and prediction) and frontend Created using Threejs (for user interaction).

The classic Kaggle Titanic data science challenge

This directory contains an emulator to simulate a forest fire on the Numworks calculator or on your computer.

Python module to calculate local variable importance with the global model

Öğrenci Ders Seçimi İstatistiksel olarak yapılabilir mi?

This is the main repository for the Autonomous Forest Navigation Rover NANA

Use R script to plot your own personal movie ratings against the average IMDB user's. The R script also runs a KNN Model that predicts what movies you will like based on your personal IMDB ratings.

Estimación de cobertura de la tierra a 2050 a partir de estimadores de Random Forest

An algorithm that examines sky and ground to decide if theres a forest fire going on. This software uses OpenCV library with Python pragramming language.

Environmental Data Monitoring System is a web-based application for monitoring and visualizing environmental data. Built using React, Express.js, MongoDB, and Node.js, the system allows users to view, analyze, and log environmental data effectively. Key features include data updates, interactive chart for data visualization.

This project is meant to help save Amazon Rainforest. Here I build a Machine and Deep Learning model to classify images from the Amazon Rainforest taken from and processed by drones with edge computers.

Automated Wildfire Prediction

[SRS 2023] Countrywide Vegetation Height Estimation with Sentinel-2 and Deep Learning