Air quality of a certain region can be used as one of the major factor determining pollution
index also how well the city's industries and population is managed. Urban air quality …

The paper analyzes two artificial intelligence methods for particulate matter air pollutant
prediction, namely data mining and adaptive neuro-fuzzy inference system (ANFIS). Both …

Air quality monitoring is one of several important tasks carried out in the area of
environmental science and engineering. Accordingly, the development of air quality …

Geo-tagged time series air pollution data have been produced as a result of the widespread
deployment of government setup pollution monitoring stations. Data at multiple sites/stations …

Air pollution can be defined presence of harmful or hazardous substances in the air which
deteriorate the quality of air. As we are moving ahead in future the environment is getting …

Environmental risks caused by exposure to ground level ozone have significantly increased
during recent years. One main producer of ozone is the photochemical reaction between …

It is generally recognized that road traffic emissions are a major health risk and responsible
for a substantial share of death and disease in Europe. Although artificial intelligence …

This work aims to use the sophisticated artificial intelligence and statistic techniques to
forecast pollution and assess its social impact. To achieve the target of the research, this …