Ground data analysis for PM2.5 Prediction using predictive modeling techniques
Introduction: Air quality forecasting, particularly predicting Particulate Matter (PM2.5 ) concentrations, has gained significant attention due to its critical implications for public health and environmental management. Accurately predicting PM2.5 , a harmful air pollutant associated with respira...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Tehran University of Medical Sciences
2025-03-01
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| Series: | Journal of Air Pollution and Health |
| Subjects: | |
| Online Access: | https://japh.tums.ac.ir/index.php/japh/article/view/903 |
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