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Predicting COVID-19 cases in various scenarios using RNN-LSTM models aided by adaptive linear regression to identify data anomalies

Overview of attention for article published in Anais da Academia Brasileira de Ciências, January 2022
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Title
Predicting COVID-19 cases in various scenarios using RNN-LSTM models aided by adaptive linear regression to identify data anomalies
Published in
Anais da Academia Brasileira de Ciências, January 2022
DOI 10.1590/0001-3765202220210921
Pubmed ID
Authors

Luis Ricardo Arantes Filho, Marcos L Rodrigues, Reinaldo R Rosa, Lamartine N F Guimarães

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 12%
Librarian 2 8%
Student > Doctoral Student 2 8%
Student > Postgraduate 2 8%
Researcher 2 8%
Other 3 12%
Unknown 11 44%
Readers by discipline Count As %
Computer Science 3 12%
Nursing and Health Professions 3 12%
Unspecified 1 4%
Environmental Science 1 4%
Arts and Humanities 1 4%
Other 4 16%
Unknown 12 48%