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Deep learning methods for forecasting COVID-19 time-Series data: A Comparative study

The novel coronavirus (COVID-19) has significantly spread over the world and comes up with new challenges to the research community. Although governments imposing numerous containment and social distancing measures, the need for the healthcare systems has dramatically increased and the effective man...

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Dades bibliogràfiques
Publicat a:Chaos Solitons Fractals
Autors principals: Zeroual, Abdelhafid, Harrou, Fouzi, Dairi, Abdelkader, Sun, Ying
Format: Artigo
Idioma:Inglês
Publicat: Elsevier Ltd. 2020
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7362800/
https://ncbi.nlm.nih.gov/pubmed/32834633
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.chaos.2020.110121
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