The problem of air pollution is a persistent issue for mankind and becoming increasingly
serious in recent years, which has drawn worldwide attention. Establishing a scientific and …

Air quality has received continuous attention from both environmental managers and
citizens. Accordingly, early-warning systems for air pollution are very useful tools to avoid …

Air pollution in many countries is worsening with industrialization and urbanization, resulting
in climate change and affecting people's health, thus, making the work of policymakers more …

Air pollution has become a serious issue in many developing countries, especially in China,
and could generate adverse effects on human beings. Air quality early-warning systems play …

This work dissects the application of big data and artificial intelligence (AI) technology in
environmental protection monitoring. The application principle of big data in environmental …

Air pollution has lots of adverse effects on industrial production and public life. Thus, it is an
urgent task to construct an efficient air quality early-warning system to guide public life and …

In this paper, a novel hybrid learning method is carried out to forecast urban air quality index
(AQI). Wavelet packet decomposition (WPD) is firstly performed to decompose the original …

Air pollution poses a substantial threat to society and is considered one of the greatest
environmental hazards for human beings. It is of great importance to develop air pollution …

Air quality early-warning plays a vital role in improving air quality and human health,
especially multi-step ahead air quality early-warning, which is significant for both citizens …

An effective air pollution prediction is of great significance to prevent and control air pollution
and protect the health of residents. In order to improve the prediction accuracy of PM 2.5, an …