Cite
COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain.
MLA
Díaz-Lozano, Miguel, et al. “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, Nov. 2022, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.eswa.2022.117977.
APA
Díaz-Lozano, M., Guijo-Rubio, D., Gutiérrez, P. A., Gómez-Orellana, A. M., Túñez, I., Ortigosa-Moreno, L., Romanos-Rodríguez, A., Padillo-Ruiz, J., & Hervás-Martínez, C. (2022). COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain. Expert Systems with Applications, 207, N.PAG. https://doi.org/10.1016/j.eswa.2022.117977
Chicago
Díaz-Lozano, Miguel, David Guijo-Rubio, Pedro Antonio Gutiérrez, Antonio Manuel Gómez-Orellana, Isaac Túñez, Luis Ortigosa-Moreno, Armando Romanos-Rodríguez, Javier Padillo-Ruiz, and César Hervás-Martínez. 2022. “COVID-19 Contagion Forecasting Framework Based on Curve Decomposition and Evolutionary Artificial Neural Networks: A Case Study in Andalusia, Spain.” Expert Systems with Applications 207 (November): N.PAG. doi:10.1016/j.eswa.2022.117977.