In recent years, the deterioration of air quality, the frequent events of the air contaminants,
and the health impacts from that have caused continuous attention by the government and …

PM10 prediction has attracted special legislative and scientific attention due to its harmful
effects on human health. Statistical techniques have the potential for high-accuracy PM10 …

Air pollutants impact public health, socioeconomics, politics, agriculture, and the
environment. The objective of this study was to evaluate the ability of an artificial neural …

Hydrological time series forecasting is one of the most important applications in modern
hydrology, especially for the effective reservoir management. In this research, an artificial …

Air pollutant forecasting can be used to quantitatively estimate pollutant reduction trends.
Combining bibliometrics with the evolutionary tree and Markov chain methods can achieve a …

Air pollution has a major impact on human health, especially in cities, and elevated
concentrations of PMx are responsible for a large number of premature deaths each year …

Accurate prediction of municipal solid waste's quality and quantity is crucial for designing
and programming municipal solid waste management system. But predicting the amount of …

Characterising the daily PM2. 5 concentration is crucial for air quality control. To govern the
status of the atmospheric environment, a novel hybrid model for PM2. 5 forecasting was …

Estimation of crop yields included in the planning is an essential condition for accurate and
timely agricultural planning. Remotely sensed products, such as the spectral vegetation …

The accurate mapping of urban housing prices at a fine scale is essential to policymaking
and urban studies, such as adjusting economic factors and determining reasonable levels of …