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Meteorological and human mobility data on predicting COVID-19 cases by a
  novel hybrid decomposition method with anomaly detection analysis: a case
  study in the capitals of Brazil

Meteorological and human mobility data on predicting COVID-19 cases by a novel hybrid decomposition method with anomaly detection analysis: a case study in the capitals of Brazil

10 May 2021
Tiago Tiburcio da Silva
Rodrigo Francisquini
M. C. Nascimento
ArXivPDFHTML

Papers citing "Meteorological and human mobility data on predicting COVID-19 cases by a novel hybrid decomposition method with anomaly detection analysis: a case study in the capitals of Brazil"

2 / 2 papers shown
Title
Multi-stage transfer learning for lung segmentation using portable X-ray
  devices for patients with COVID-19
Multi-stage transfer learning for lung segmentation using portable X-ray devices for patients with COVID-19
P. Vidal
J. D. Moura
Jorge Novo
M. Ortega
OOD
40
60
0
30 Oct 2020
Forecasting Brazilian and American COVID-19 cases based on artificial
  intelligence coupled with climatic exogenous variables
Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables
Ramon Gomes da Silva
M. Ribeiro
V. Mariani
L. Coelho
75
113
0
21 Jul 2020
1