Temporal deep learning architecture for prediction of COVID-19 cases in India

To combat the recent coronavirus disease 2019 (COVID-19), academician and clinician are in search of new approaches to predict the COVID-19 outbreak dynamic trends that may slow down or stop the pandemic. Epidemiological models like Susceptible–Infected–Recovered (SIR) and its variants are helpful t...

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Detalles Bibliográficos
Autores principales: Verma, Hanuman, Mandal, Saurav, Gupta, Akshansh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817764/
https://www.ncbi.nlm.nih.gov/pubmed/35153389
http://dx.doi.org/10.1016/j.eswa.2022.116611

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817764/
https://www.ncbi.nlm.nih.gov/pubmed/35153389
http://dx.doi.org/10.1016/j.eswa.2022.116611

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