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A novel framework for spatio-temporal prediction of environmental data using deep learning

As the role played by statistical and computational sciences in climate and environmental modelling and prediction becomes more important, Machine Learning researchers are becoming more aware of the relevance of their work to help tackle the climate crisis. Indeed, being universal nonlinear function...

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Bibliografiske detaljer
Udgivet i:Sci Rep
Main Authors: Amato, Federico, Guignard, Fabian, Robert, Sylvain, Kanevski, Mikhail
Format: Artigo
Sprog:Inglês
Udgivet: Nature Publishing Group UK 2020
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7746728/
https://ncbi.nlm.nih.gov/pubmed/33335159
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-79148-7
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