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Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives
  for Brazil

Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil

21 July 2020
M. Ribeiro
Ramon Gomes da Silva
V. Mariani
L. Coelho
ArXivPDFHTML

Papers citing "Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil"

7 / 7 papers shown
Title
Epidemic Forecasting with a Hybrid Deep Learning Method Using CNN-LSTM With WOA-GWO Parameter Optimization: Global COVID-19 Case Study
Epidemic Forecasting with a Hybrid Deep Learning Method Using CNN-LSTM With WOA-GWO Parameter Optimization: Global COVID-19 Case Study
Mousa Alizadeh
Mohammad Hossein Samaei
Azam Seilsepour
Mohammad TH Beheshti
47
2
0
17 Mar 2025
Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A review
Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A review
Rubaiyat Hossain Mondal
Subrato Bharati
Prajoy Podder
27
56
0
28 Oct 2021
Dynamics, behaviours, and anomaly persistence in cryptocurrencies and
  equities surrounding COVID-19
Dynamics, behaviours, and anomaly persistence in cryptocurrencies and equities surrounding COVID-19
Nick James
17
33
0
03 Jan 2021
Examining Deep Learning Models with Multiple Data Sources for COVID-19
  Forecasting
Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting
Lijing Wang
A. Adiga
S. Venkatramanan
Jiangzhuo Chen
B. Lewis
Madhav Marathe
17
18
0
27 Oct 2020
Comparison of ARIMA, ETS, NNAR and hybrid models to forecast the second
  wave of COVID-19 hospitalizations in Italy
Comparison of ARIMA, ETS, NNAR and hybrid models to forecast the second wave of COVID-19 hospitalizations in Italy
Gaetano Perone
12
87
0
22 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
43
112
0
21 Jul 2020
Composite Monte Carlo Decision Making under High Uncertainty of Novel
  Coronavirus Epidemic Using Hybridized Deep Learning and Fuzzy Rule Induction
Composite Monte Carlo Decision Making under High Uncertainty of Novel Coronavirus Epidemic Using Hybridized Deep Learning and Fuzzy Rule Induction
S. Fong
Gloria Li
N. Dey
R. G. Crespo
E. Herrera-Viedma
85
188
0
22 Mar 2020
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