Air quality forecasting is an effective way to protect public health by providing an early
warning against harmful air pollutants. In this paper, a model W-BPNN using wavelet …

In this paper, we propose a new class of distributions called the Lindley generator with one
extra parameter to generate many continuous distributions. The new distribution contains …

This study considers the usage of multilinear regression and artificial neural network
modelling to forecast ozone concentrations with regard to weather-related indicators (wind …

Particulate matter (PM), which is one of the most important parameters in the area of air
pollution, has widespread impacts on human health. Hence, the prediction of the probable …

Portending and mastering the atmospheric quality plays a significant role in polishing up
people's daily life and preventing the environment against serious pollution because air …

In this study, potential of neural network to estimate daily mean PM10 concentration levels in
Sakarya city, Turkey as a case study was examined to achieve improved prediction ability …

A good knowledge of pollutant time series behavior is fundamental to elaborate strategies
and construct tools to protect human health. In Caribbean area, air quality is frequently …

Şehirlerdeki hava kalitesinin belirlenmesi ve temiz hava eylem planlarının oluşturulması için
hava kirleticilerinin konsantrasyonları sürekli olarak ölçülmeli ve değerlendirilmelidir. 2019 …

Due to African dust, the Caribbean area is known to have one of the highest incidences of
asthma on the planet. Consequently, it is crucial to dissociate the impact of local sources …

Environmental pollution management is one of the most important features in pollution risk
assessment. Several studies have shown that exposure to particulate matter with an …