Airborne particulate matter measurement and prediction with machine learning techniques
Sebastian Iwaszenko,
Adam Smolinski,
Marcin Grzanka
et al.
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 environmental condition, but also for forecasting it in the near future. This paper considers the applications of different machine learning methods for the prediction of the two most widely used quantities. Particulate matter (PM) wit… Show more
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