Air quality, water pollution, and radiation pollution are major factors that pose genuine
challenges in the environment. Suitable monitoring is necessary so that the world can …

Cities foster economic growth. However, growing cities also contribute to air pollution and
climate change. The paper provides a perspective regarding the opportunity available in …

Rapid industrialization and urbanization are rapidly deteriorating ambient air quality,
especially in the developing nations. Air pollutants impose a high risk on human health and …

In the present scenario, air quality prediction (AQP) is a complex task due to high variability,
volatility, and dynamic nature in space and time of particulates and pollutants. Recently …

Air pollution is a risk factor for many diseases that can lead to death. Therefore, it is
important to develop forecasting mechanisms that can be used by the authorities, so that …

The influence of machine learning technologies is rapidly increasing and penetrating almost
in every field, and air pollution prediction is not being excluded from those fields. This paper …

An index for reporting air quality is called the air quality index (AQI). It measures the impact
of air pollution on a person's health over a short period of time. The purpose of the AQI is to …

There is a very extensive literature on the design and test of models of environmental
pollution, especially in the atmosphere. Current and recent models, however, are focused on …

This study focuses on utilizing Ensemble Machine Learning to predict and forecast the Air
Quality Index (AQI). The research is motivated by the adverse effects of industrialization and …

As the global climate warms, cities worldwide face more frequent and extreme heatwaves.
These events can affect human health and decrease liveability. While the mitigating effects …