COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain

PEDRO ANTONIO GUTIÉRREZ PEÑACESAR HERVAS MARTINEZ2026-01-292026-01-29202210.1016/j.eswa.2022.1179772-s2.0-85133215294https://www.scopus.com/inward/record.uri?eid=2-s2.https://ucocris.uco.es/handle/123456789/35168Artificial IntelligenceComputer Science ApplicationsEngineering (all)COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spainresearch article