Monitoring air quality index with EWMA and individual charts using XGBoost and SVR residuals
PM2.5 air pollution poses significant health risks, particularly in urban areas such as Jakarta, where concentrations frequently surpass acceptable levels due to rapid urbanization. This study addresses autocorrelation in air quality data and evaluates the monitoring performance of XGBoost and Suppo...
Guardado en:
| Autores principales: | , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Elsevier
2025-06-01
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| Colección: | MethodsX |
| Materias: | |
| Acceso en línea: | http://www.sciencedirect.com/science/article/pii/S2215016124005582 |
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