Deep Learning to implement a Statistical Weather Forecast for the Andean City of Quito

Ricardo Llugsi Canar; Allyx Fontaine; Pablo Lupera Morillo; Samira El Yacoubi

doi:10.1109/ANDESCON50619.2020.9272106

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Deep Learning to implement a Statistical Weather Forecast for the Andean City of Quito

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1

Ricardo Llugsi Canar

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Allyx Fontaine

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PersonId : 13898
IdHAL : allyx
IdRef : 183380533

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Pablo Lupera Morillo

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Samira El Yacoubi

Function : Author
PersonId : 20399
IdHAL : samira-el-yacoubi
ORCID : 0000-0002-8017-5286
IdRef : 137787839

Institut de Modélisation et d'Analyses en géo-environnement et santé - Espace Développement

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Submitted on : Saturday, December 5, 2020-4:57:19 PM

Last modification on : Friday, August 5, 2022-10:51:00 AM

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hal-03041898 , version 1 (05-12-2020)

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HAL Id : hal-03041898 , version 1
DOI : 10.1109/ANDESCON50619.2020.9272106

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Ricardo Llugsi Canar, Allyx Fontaine, Pablo Lupera Morillo, Samira El Yacoubi. Deep Learning to implement a Statistical Weather Forecast for the Andean City of Quito. 2020 IEEE ANDESCON, Oct 2020, Quito, Ecuador. pp.1-6, ⟨10.1109/ANDESCON50619.2020.9272106⟩. ⟨hal-03041898⟩

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Deep Learning to implement a Statistical Weather Forecast for the Andean City of Quito

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