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...

Descripción completa

Detalles Bibliográficos

Autores principales:	Maciel-Jacobo, Jose Luis, Aceves-Fernández, Marco Antonio, Pedraza-Ortega, Jesus Carlos, Gorrostieta-Hurtado, Efren
Formato:	Capítulo de libro
Lenguaje:	inglés
Publicado:	IntechOpen 2024
Materias:	Physical Sciences, Engineering and Technology
Acceso en línea:	https://www.intechopen.com/chapters/1198074
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!