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 …

During the past few years, severe air-pollution problem has garnered worldwide attention
due to its effect on health and wellbeing of individuals. As a result, the analysis and …

Air pollution forecasting can provide reliable information about the future pollution situation,
which is useful for an efficient operation of air pollution control and helps to plan for …

Many countries worldwide have poor air quality due to the emission of particulate matter (ie,
PM10 and PM2. 5), which has led to concerns about human health impacts in urban areas …

As a kind of air pollution, haze has complex temporal and spatial characteristics. From the
perspective of time, haze has different causes and levels of pollution in different seasons …

Atmospheric particulate matter (PM) is one of the pollutant that may have a significant impact
on human health. Data collected during three years in an urban area of the Adriatic coast …

With the advance of technology, it is increasingly exhaust emissions have caused air
pollution. In particular, PM2. 5 (Particulate Matter) has been proven that it has a great …

Air quality is closely related to quality of life. Air pollution forecasting plays a vital role in air
pollution warnings and controlling. However, it is difficult to attain accurate forecasts for air …

Bayesian methods are a powerful tool in many areas of science and engineering, especially
statistical physics, medical sciences, electrical engineering, and information sciences. They …