Airborne particulate matter measurement and prediction with machine learning techniques

Abstract Air quality is a fundamental component of a healthy environment for human beings. Monitoring networks for air pollution have been established in numerous industrial zones. The data collected by the pervasive monitoring devices can be utilized not only for determining the current environment...

Full description

Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Sebastian Iwaszenko, Adam Smolinski, Marcin Grzanka, Tomasz Skowronek
Format:	Article
Language:	English
Published:	Nature Portfolio 2024-08-01
Subjects:	Air quality monitoring Machine learning Air quality prediction Time series modeling
Online Access:	https://doi.org/10.1038/s41598-024-70152-9