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 …

Tropospheric ozone (O 3) pollution is worsening in China, and an accurate forecast is a
prerequisite to lower the O 3 peak level. In recent years, machine learning techniques have …

The potential of artificial intelligence (AI) to shape research and education is a highly topical
issue. The recent release of ChatGPT (Chat Generative Pre‐trained Transformer) by OpenAI …

The air quality index (AQI) forecast in big cities is an exciting study area in smart cities and
healthcare on the Internet of Things. In recent years, a large number of empirical, academic …

This article presents a location-invariant air pollution prediction model with good geographic
generalizability. The model uses a light GBR as part of a machine-learning framework to …

Hazy weather seriously threatens human health, providing accurate and reliable air
pollutant concentration forecast will be of great scientific value and benefit to residents' …

The main goal of this work is to obtain reliable predictions of pollutant concentrations related
to maritime traffic (SO2, PM10, NO2, NOX, and NO) in the Bay of Algeciras, located in …

With the industrialization of society, air pollution has become a critical environmental issue,
leading to excessive morbidity and mortality from cardiovascular and respiratory diseases in …

The purpose of the study is to demonstrate the role of artificial intelligence in the ability to
accelerate global efforts to protect the environment and conserve natural resources by …

Air quality forecasting has practical implications for policy-makers guiding pollution control at
early stages. However, due to the complexity and nonlinearity of air quality data, it is difficult …