"COVID-19 contagion forecasting framework based on curve decomposition and ..."

Miguel Díaz-Lozano et al. (2022)

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DOI: 10.1016/J.ESWA.2022.117977

access: closed

type: Journal Article

metadata version: 2022-12-05

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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 Syst. Appl. 207: 117977 (2022)

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