Comparative analysis of Gated Recurrent Units (GRU), long Short-Term memory (LSTM) cells, autoregressive Integrated moving average (ARIMA), seasonal autoregressive Integrated moving average (SARIMA) for forecasting COVID-19 trends-Reference-Cited by-同舟云学术

Comparative analysis of Gated Recurrent Units (GRU), long Short-Term memory (LSTM) cells, autoregressive Integrated moving average (ARIMA), seasonal autoregressive Integrated moving average (SARIMA) for forecasting COVID-19 trends

Published:2022-10 Issue:10 Volume:61 Page:7585-7603
ISSN:1110-0168
Container-title:Alexandria Engineering Journal
language:en
Short-container-title:Alexandria Engineering Journal

Author:

ArunKumar K.E.,Kalaga Dinesh V.,Mohan Sai Kumar Ch.,Kawaji Masahiro^ORCID,Brenza Timothy M.

Publisher

Elsevier BV

Subject

General Engineering

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