| A support vector machine model to forecast ground-level PM2.5 in a highly populated city with a complex terrain C Mogollón-Sotelo, A Casallas, S Vidal, N Celis, C Ferro, L Belalcazar Air Quality, Atmosphere & Health 14, 399-409, 2021 | 42 | 2021 |
| Long short-term memory artificial neural network approach to forecast meteorology and PM2.5 local variables in Bogotá, Colombia A Casallas, C Ferro, N Celis, MA Guevara-Luna, C Mogollón-Sotelo, ... Modeling Earth Systems and Environment, 1-14, 2021 | 22 | 2021 |
| Air pollution analysis in Northwestern South America: A new Lagrangian framework A Casallas, A Cabrera, MA Guevara-Luna, A Tompkins, Y González, ... Science of the Total Environment 906, 167350, 2024 | 4 | 2024 |
| Design of a 3D convolutional neural network model to forecast PM2.5 and O3 concentrations in Colombia A Casallas, C Ferro, N Celis, C Mogollon-Sotelo, LC Belalcazar 2021 Congreso Colombiano y Conferencia Internacional de Calidad de Aire y …, 2021 | | 2021 |
| Design of a 3D convolutional neural network model to forecast PM2. 5and O3concentrations in Colombia A Casallas, C Ferro, N Celis, C Mogollon-Sotelo, LC Belalcazar 8th Colombian Congress and International Conference on Air Quality and …, 2021 | | 2021 |
Alejandro Casallas GAbdus Salam International Centre for Theoretical PhysicsDirección de correo verificada de ictp.it
