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

  • Published:2022 Issue:suppl 3 Volume:94 Page:
  • ISSN:1678-2690
  • Container-title:Anais da Academia Brasileira de Ciências
  • language:
  • Short-container-title:An. Acad. Bras. Ciênc.

Author:

ARANTES FILHO LUIS RICARDO1ORCID,RODRIGUES MARCOS L.1ORCID,ROSA REINALDO R.2ORCID,GUIMARÃES LAMARTINE N.F.3ORCID

Affiliation:

1. Instituto Nacional de Pesquisas Espaciais (INPE), Brazil

2. Instituto Nacional de Pesquisas Espaciais (INPE), Brazil; Instituto Nacional de Pesquisas Espaciais (INPE), Brazil

3. Instituto Nacional de Pesquisas Espaciais (INPE), Brazil; Instituto Tecnológico de Aeronáutica (ITA), Brazil

Publisher

FapUNIFESP (SciELO)

Subject

Multidisciplinary

Reference43 articles.

1. Mathematical Modeling and the Transmission Dynamics in Predicting the Covid-19-What Next in Combating the Pandemic;ANIRUDH A;Infectious Disease Modelling,2020

2. A dificuldade do isolamento social nas favelas de Pernambuco;ANJOS AJ,2020

3. Prediction and analysis of COVID-19 positive cases using deep learning models: A descriptive case study of India;ARORA P;Chaos Soliton Fract,2020

4. Moradores de Favelas Movimentam r$ 119,8 Bilhões Por Ano;BOEHM C,2020

5. Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms;BUDUMA N,2017

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine Learning and Healthcare: A Comprehensive Study;Lecture Notes in Networks and Systems;2024
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