Accurate air quality forecasting is critical for systematic pollution control as well as public
health and wellness. Most of the traditional forecasting techniques have shown inconsistent …

Current studies show that traditional deterministic models tend to struggle to capture the non-
linear relationship between the concentration of air pollutants and their sources of emission …

In view of prediction techniques of hourly PM2. 5 concentration in China, this paper applied
the XGBoost (Extreme Gradient Boosting) algorithm to predict hourly PM2. 5 concentration …

Financial distress prediction is a central issue in empirical finance that has drawn a lot of
research interests in the literature. This paper aims to predict the financial distress of French …

Increased attention has been paid to PM 2.5 pollution in China. Due to its detrimental effects
on environment and health, it is important to establish a PM 2.5 concentration forecasting …

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 …

Air pollution severely affects many countries around the world causing serious health effects
or death. Increasing dependency on fossil fuels through the last century has been …

It is beneficial to establish a rapid prediction approach of sorption by considering various
operating variables that can greatly reduce workload and minimize operational costs. In the …

Environmental pollution has mainly been attributed to urbanization and industrial
developments across the globe. Air pollution has been marked as one of the major problems …

Energy consumption forecasting is a critical and necessary input to planning and controlling
energy usage in the building sector which accounts for 40% of the world's energy use and …