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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...

詳細記述

保存先:
書誌詳細
出版年:Sci Rep
主要な著者: Amato, Federico, Guignard, Fabian, Robert, Sylvain, Kanevski, Mikhail
フォーマット: Artigo
言語:Inglês
出版事項: Nature Publishing Group UK 2020
主題:
オンライン・アクセス: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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