Query/download date or version of the database Database query/download date or version
of the database must be reported. Or the final dataset (that is, after editing and quality …

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 …

Air pollution stands as the fourth leading cause of death globally. While extensive research
has been conducted in this domain, most approaches rely on large datasets when it comes …

Abstract Machine learning (ML) is an advanced computer algorithm that simulates the
human learning process to solve problems. With an explosion of monitoring data and the …

In the effort to achieve accurate air pollution predictions, researchers have
contributedvarious methodologies with varying data and different approaches that can be …

Air pollution prediction is a burning issue, as pollutants can harm human health. Traditional
machine learning models usually aim to improve the overall prediction accuracy but neglect …

With the AQ-Bench dataset, we contribute to the recent developments towards shared data
usage and machine learning methods in the field of environmental science. The dataset …

Air quality is a critical concern for public health and environmental regulation. The Air Quality
Index (AQI), a widely adopted index by the US Environmental Protection Agency (EPA) …

Arti cial intelligence (AI) and machine learning (ML) are rapidly growing elds that have
made a signi cant impact in studies of environmental science and human health. Advances …

Benchmark datasets and benchmark problems have been a key aspect for the success of
modern machine learning applications in many scientific domains. Consequently, an active …