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 …

Abstract Traffic Related Air Pollution (TRAP) studies are usually investigated using different
categories such as air pollution exposure for health impacts, urban transportation network …

Removing dissolved organic matter (DOM) with polyaluminium chloride is one of the primary
goals of drinking water treatment. In this study, a new HMW framework was proposed, which …

Cough is a respiratory protective behavior for clearing the secretion. The cough process can
be characterized by three features which are cough peak flow rate, peak velocity time, and …

The levels of particulate matter tend to exceed the limit values in many countries across the
world. Epidemiological studies have found the associations between particulate matter …

We developed a dispersion model (RapidAir®) to estimate air pollution concentrations at
fine spatial resolution over large geographical areas with fast run times. Concentrations …

The level of hazardous traffic pollutants, such as nitrogen dioxide (NO2), significantly
increases in street canyons, which is a relevant determinant of assessing human exposure …

This publication deals with the evaluation of forecasting the emissions of ships operating in
the port through neural networks. Analyzed particulate matter (PM1, PM2. 5, PM10, TSP) …

Traffic flow related air pollution is one of the major problems in urban areas, and is often
difficult to avoid it if the time sequenced dynamic pollution and traffic parameters are not …

Outdoor air pollution (AP) is a serious public threat which has been linked to severe
respiratory and cardiovascular illnesses, and premature deaths especially among those …