COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain
Published in Expert Systems with Applications, 2022
Recommended citation: Miguel Díaz-Lozano, David Guijo-Rubio, Pedro Antonio Gutiérrez, Antonio Manuel Gómez-Orellana, Isaac Túñez, Luis Ortigosa-Moreno, Armando Romanos-Rodríguez, Javier Padillo-Ruiz, César Hervás-Martínez, "COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain." Expert Systems with Applications, Vol. 207, 2022, pp.117977. http://doi.org/10.1016/j.eswa.2022.117977
JCR(2021): 8.665, Position: 21/144 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE