Urban air pollution is a pressing global issue driven by factors such as swift urbanization,
population expansion, and heightened industrial activities. To address this challenge, the …

The use of data-driven techniques such as artificial neural network (ANN) models for
outdoor air pollution forecasting has been popular in the past two decades. However …

Forecasting streamflows, essential for flood mitigation and the efficient management of water
resources for drinking, agriculture and hydroelectric power generation, presents a …

Polycyclic aromatic hydrocarbons (PAHs) refer to a group of several hundred compounds,
among which 16 are identified as priority pollutants, due to their adverse health effects …

This manuscript presents an efficient multi-objective optimization method based on using
particle swarm optimization together with a desirability function that can be applied where …

Blueberries are rich in polyphenols, anthocyanins and vitamins. Products such as fermented
beverages are viable, as these fruits have a short shelf life and are difficult to preserve …

Low-carbon and environmentally friendly living boosted the market demand for new energy
vehicles and promoted the development of the new energy vehicle industry. Accurate …

PM2. 5 concentration is an important index to measure the degree of air pollution. It is
necessary to establish an accurate PM2. 5 concentration prediction system for urban air …

Air pollution due to air contamination by gases, liquids, and solid particles in suspension, is
a great environmental and public health concern nowadays. An important type of air …

Accurate predictions of air quality enable governments and relevant authorities to take
promptly measures for protecting public health. With the increasing time-varying nature of air …