Research activity in the field of air pollution forecasting using artificial neural networks
(ANNs) has increased dramatically in recent years. However, the development of ANN …

Artificial intelligence (AI) techniques have substantially changed the research paradigm in
the field of air quality forecasting due to their powerful performance. Considering the …

In recent years, the haze has caused serious troubles to people's lives, with the continuous
increase of PM2. 5 emissions. The accurate prediction of PM2. 5 is very crucial for policy …

Outdoor air pollution costs millions of premature deaths annually, mostly due to
anthropogenic fine particulate matter (or PM2. 5). Quito, the capital city of Ecuador, is no …

Air quality deteriorates fast under urbanization in recent decades. Reliable and precise
regional multi-step-ahead PM 2.5 forecasts are crucial and beneficial for mitigating health …

With atmospheric environmental pollution becoming increasingly serious, developing an
early warning system for air quality forecasting is vital to monitoring and controlling air …

The fine particulate matter (eg PM 2.5) gains an increasing concern of human health
deterioration. Modelling PM 2.5 concentrations remains a substantial challenge due to the …

Effective forecasting of the air pollutant concentration is crucial for a robust air quality early-
warning system and has both theoretical and practical significance. However, the accidental …

With air pollution having become a global concern, scientists are committed to working on its
amelioration. In the field of air pollution prediction, there have been good results in …

In recent years, the forecasting of particles with a diameter of 2.5 μm or less (PM 2.5) has
been a popular research topic, and involves multiple sources of pollution, making it difficult …