Traffic-Related Air Pollutant (TRAP) Prediction using Big Data and Machine Learning

Predicting Air Pollutant using Data Mining and Machine Learning Algorithms

Air pollution can be defined presence of harmful or hazardous substances in the air which deteriorate the quality of air. As we are moving ahead in future the environment is getting polluted day by day due to these biological molecules and harmful gases. These pollutant causes diseases, allergy, etc and death as well....

Optimized and Explainable Air Quality Index Classification System

AirAware is a machine learning–based system designed to predict and monitor Air Quality Index (AQI) levels using historical air pollution data and real-time environmental information, and integrates real-time air pollution data through the OpenWeather API, enabling continuous monitoring of current environmental conditi...

Data-driven air quality prediction in Navi Mumbai city using machine learning techniques

Optimal machine learning techniques to predict air quality index

APPLICATION OF FUZZY LOGIC IN THE PREDICTION OF AIR POLLUTION IN BERLIN, GERMANY

Air pollution is the presence of harmful substances in the atmosphere that can adversely impact human health and other living organisms. In urban environments such as Berlin, air pollution—particularly from traffic emissions and industrial activities—continues to be a significant concern. The Air Quality Index (AQI) is...

An Artificial Intelligence Based Air Pollution Prediction Model for Smart Cities

A replicable, data-driven blueprint for intelligent air quality governance in the era of connected urban environments is established, establishing a replicable, data-driven blueprint for intelligent air quality governance in the era of connected urban environments.