Prediction based on time series has a wide range of applications. Due to the complex
nonlinear and random distribution of time series data, the performance of learning prediction …

The effect of bad air quality on human health is a well-known risk. Annual health costs have
significantly been increased in many countries due to adverse air quality. Therefore …

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 …

With the development of industrial economy, air pollution has become a problem that cannot
be ignored. While pursuing short prediction time, high prediction accuracy also needs to be …

Forecasting of particulate matter (PM10) which adversely impacts air quality is highly
important in ever-urbanizing cities. The relationship between particulate matter and other air …

Air pollution significantly impacts human health, causing numerous premature deaths,
particularly with the rise in PM 2.5 concentrations. Therefore, comparing different machine …

Air pollution is a global problem, especially in urban areas where the population density is
very high due to the diverse pollutant sources such as vehicles, industrial plants, buildings …

Over the past few years, the concentration of fine particulate matter (PM2. 5) in Delhi's
atmosphere has progressively increased, resulting in smog episodes and affecting people's …

A stock price index measures the change in several share prices, which can describe the
market and assist investors in deciding on a specific investment. Thus, foreseeing the stock …

Integrating air quality information from models, satellites, and in situ monitors allows for both
better estimation of air quality and better quantification of uncertainties in this estimation …