A Transformer-Based Architecture for Airborne Particles Forecasting: Case Study – PM2.5 in Mexico City
<p id="p1">In this comprehensive research project, our goal is to predict the concentration levels of PM2.5, a critical air pollutant, in Mexico City. To address this challenge, we use an innovative approach based on the transformer model, specifically a modified version called the Informer. This pr...
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| Autores principales: | , , , |
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| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2024
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| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/1198074 |
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