The purpose of this study was to compare different machine learning models for predicting
daily air quality index (AQI) and evaluating air quality grade (AQG). The study used publicly …

This paper is aimed at developing an air quality monitoring system using machine learning
(ML), Internet of Things (IoT), and other elements to predict the level of particulate matter and …

Air Quality Index (AQI) is derived from a series of observations of different air pollutants for
reporting air quality. The severity of air pollution and its impacts on the general public are …

Particulate matter is the most common atmospheric pollutant with some negative
consequences on human health, environment, and the ambient air quality. In this study, the …

Air pollution continues to be an international problem that endangers both human health
and the environment. Over the past few decades, air pollution in Malaysia has emerged as a …

Air quality has recently been of great concern, as it directly affects people's lives. Continuous
monitoring of atmospheric air quality and forecasting the dynamics of its changes are …

The Cloud computing is changing the way organizations are functioning nowadays. A Cloud
based system changes the services seamlessly without expending many resources in …