Python tool to sense, predict and push pollution data to Firebase Realtime Database
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Updated
Dec 27, 2022 - Python
Python tool to sense, predict and push pollution data to Firebase Realtime Database
Ongoing research on several projects..
Tools 🧰 to preprocess and post process data for air quality assessment.
This project aims to develop machine learning models to forecast PM2.5 levels in the Jeongnim-Dong area from 2018 to 2022.
Creation of an ecological carpooling app with the possibility of doing stopovers
This is the repository that contains CAbc-QUAL, model for hydrological and load modelling.
a platform which provides users with the predicted Air Quality Index levels of air pollution for 39 cities of India with daily, monthly and yearly trends. It also provides some of the statistics observed for AQI over these cities and various latest articles and blogs related to air pollution.
Python script that allows to modify dates of input files of modules of CALMET/CALPUFF model
Research Paper on the prediction of pollutants concentration in Lille using Machine Learning Methods
A Python notebook that aims to analyze the change in air quality index (AQI) for 4 major pollutants (Nitrogen Dioxide, Sulphur Dioxide, Carbon Monoxide, Ozone) that cover all 50 states of the United States from 2000 to 2016.
Halo! Selamat datang di Repository ku. Dalam Repository ini kamu akan melihat hasil eksperiment ku membandingkan 5 model boosting untuk memprediksi kualitas udara yang ada di jakarta.
Data Assimilation with ML/DL methods
If you liked my analysis, pls upvote my notebook!
SCMPM: An open source and efficient calibration and mapping approach based on real-time spatial model that calibrates measurements from low-cost sensor in an environment with high relative humidity. The model provides spatial calibration of low cost PM2.5 sensors
IoT based Pollution Detecting system using Arduino and android native application
Command-line application providing some information about air quality in Poland. Tested using Mockito and JUnit
R codes developed for PCB water concentrations in USA. Codes describe how to create maps and figures, as well as all the statistical analyses. All data are available and download from Pangaea. This is part of Project 4 of the ISRP (https://iowasuperfund.uiowa.edu
Zephyr is a platform which provides users with the predicted Air Quality Index levels of air pollution for 39 cities of India with daily, monthly and yearly trends. It also provides some of the statistics observed for AQI over these cities and various latest articles and blogs related to air pollution.
Using long short term memory networks to analysis the pollution of Beijing, China.
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