Accurate air quality forecasting is critical for systematic pollution control as well as public
health and wellness. Most of the traditional forecasting techniques have shown inconsistent …

Air pollution is a major issue all over the world because of its impacts on the environment
and human beings. The present review discussed the sources and impacts of pollutants on …

This study proposes a new model for the spatiotemporal prediction of PM 2.5 concentration
at hourly and daily time intervals. It has been constructed on a combination of three …

Nowadays, air pollution is an important problem with negative impacts on human health and
on the environment. The air pollution forecast can provide important information to all …

The present study intends to use machine learning (ML) and deep learning (DL) models to
forecast PM2. 5 concentration at a location in Delhi. For this purpose, multi-layer feed …

In the past decades, some desert wetlands have become critical regions for dust production
in the arid and semi-arid regions of the world. Accurate prediction of the number of dusty …

Air pollution has a major impact on human health, especially in cities, and elevated
concentrations of PMx are responsible for a large number of premature deaths each year …

Particulate matter forecasting is fundamental for early warning and controlling air pollution,
especially PM2. 5. The increase in this level of concentration will lead to a negative impact …

Particulate matter (PM) or particle pollution include the tiny particles of dust and fly ash
particles are expelled from coal-burning power plants. Coal combustion is an extremely …

Ground-level ozone is a pollutant that is harmful to urban populations, particularly in
develo** countries where it is present in significant quantities. It greatly increases the risk …