PM2.5 concentration prediction using machine learning algorithms: an approach to virtual monitoring stations
Abstract One of the most important pollutants is PM2.5, which is particularly important to monitor pollutant levels to keep the pollutant concentration under control. In this research, an attempt has been made to predict the concentrations of PM2.5 using four Machine Learning (ML) models. The ML met...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-03-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-92019-3 |
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