Modeling Arbovirus Outbreak Forecasting Based on Case Concentration and Climatic Factors Using an Echo State Neural Network

dc.contributor.authorA. C. G. da Silva
dc.contributor.authorCleber Luiz de Sousa Lima
dc.contributor.authorC. P. N. Silva
dc.contributor.authorD. W. Lapa
dc.contributor.authorF. E. da Silva
dc.contributor.authorJosé Fonseca
dc.contributor.authorJ. S. Albuquerque
dc.contributor.authorMariana Andrade
dc.contributor.authorC. C. da Silva
dc.contributor.authorG. M. M. Moreno
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-24T15:01:03Z
dc.date.available2026-03-24T15:01:03Z
dc.date.issued2025
dc.identifier.doi10.1007/978-3-031-94921-0_77
dc.identifier.urihttps://doi.org/10.1007/978-3-031-94921-0_77
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/100715
dc.language.isoen
dc.relation.ispartofWorld Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany
dc.sourceUniversidade de Pernambuco
dc.subjectOutbreak
dc.subjectArbovirus
dc.subjectArtificial neural network
dc.subjectEcho (communications protocol)
dc.subjectEcho state network
dc.subjectEnvironmental science
dc.subjectGeography
dc.subjectMeteorology
dc.subjectComputer science
dc.subjectVirology
dc.subjectArtificial intelligence
dc.subjectBiology
dc.subjectRecurrent neural network
dc.subjectVirus
dc.subjectComputer security
dc.titleModeling Arbovirus Outbreak Forecasting Based on Case Concentration and Climatic Factors Using an Echo State Neural Network
dc.typebook-chapter

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