| 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 | 47 | 2021 |
| Validation of PM10 and PM2.5 early alert in Bogotá, Colombia, through the modeling software WRF-CHEM A Casallas, N Celis, C Ferro, E Lopez Barrera, C Peña, J Corredor, ... Environmental Science and Pollution Research 27, 35930-35940, 2020 | 36 | 2020 |
| 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 | 27 | 2021 |
| Design of an early alert system for PM2. 5 through a stochastic method and machine learning models N Celis, A Casallas, EA López-Barrera, H Martínez, CAP Rincón, ... Environmental Science & Policy 127, 241-252, 2022 | 22 | 2022 |
| Design of a forest fire early alert system through a deep 3D-CNN structure and a WRF-CNN bias correction A Casallas, C Jiménez-Saenz, V Torres, M Quirama-Aguilar, A Lizcano, ... Sensors 22 (22), 8790, 2022 | 13 | 2022 |
| Climate change, forest fires, and territorial dynamics in the Amazon rainforest: an integrated analysis for mitigation strategies N Celis, A Casallas, EA Lopez-Barrera, M Felician, M De Marchi, ... ISPRS International Journal of Geo-Information 12 (10), 436, 2023 | 10 | 2023 |
| 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 | 9 | 2024 |
| Surface, satellite ozone variations in Northern South America during low anthropogenic emission conditions: a machine learning approach A Casallas, MP Castillo-Camacho, ER Sanchez, Y González, N Celis, ... Air Quality, Atmosphere & Health 16 (4), 745-764, 2023 | 8 | 2023 |
| Surface, satellite ozone changes in northern south america during low anthropogenic emission conditions: A machine learning approach A Casallas, MP Castillo-Camacho, ER Sanchez, Y González, N Celis, ... Satellite Ozone Changes in Northern South America During Low Anthropogenic …, 2022 | 7 | 2022 |
| Efectos del confinamiento por pandemia en la contaminación atmosférica de Bogotá, Colombia AC García, EAL Barrera, JDZ Núñez, JPA Segura, CN Celis, E Camelo, ... Seguridad, migración y educación en tiempos de pandemia, 131-149, 2022 | 1 | 2022 |
| 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 |
| A support vector machine model to forecast groundlevel PM2. 5 in a highly populated city with a complex terrain. Air Qual Atmos Health 14: 399–409 C Mogollón-Sotelo, A Casallas, S Vidal, N Celis, C Ferro, LC Belalcazar | | 2021 |
| Software AQI Air Quality Index C Ferro, A Casallas, EA López, N Celis | | |
Alejandro Casallas GInstitute of Science and Technology Austria ISTA在 ist.ac.at 的电子邮件经过验证
