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1 Ergebnisse
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Leveraging geographically distributed data for influenza an..:
Boullosa González, Pablo
;
Garea Espejo, Adrián
;
Area Carracedo, Iván Carlos
..
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-113275GB-I00/ES/ECUACIONES DIFERENCIALES ORDINARIAS NO LINEALES Y APLICACIONES. , 2022
Link:
http://hdl.handle.net/11093/5543
RT Journal T1 <Title>Leveraging geographically distributed data for influenza and SARS-CoV-2 non-parametric forecasting</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftunivvigo:oai:www.investigo.biblioteca.uvigo.es:11093_5543&Exemplar=1&LAN=DE A1 Boullosa González, Pablo A1 Garea Espejo, Adrián A1 Area Carracedo, Iván Carlos A1 Nieto Roig, Juan José A1 Mira Pérez, Jorge PB Mathematics; Matemática aplicada II; GRUPO DE ENXEÑARÍA FÍSICA (OF1) YR 2022 K1 1206.02 Ecuaciones Diferenciales K1 1206.12 Ecuaciones Diferenciales Ordinarias K1 2420.08 Virus Respiratorios JF info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-113275GB-I00/ES/ECUACIONES DIFERENCIALES ORDINARIAS NO LINEALES Y APLICACIONES LK http://hdl.handle.net/11093/5543 DO http://hdl.handle.net/11093/5543 SF ELIB - SuUB Bremen
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