[HTML][HTML] Forecasting the covid-19 outbreak: an application of arima and fuzzy time series models
… (ARIMA) model [7] and the fuzzy time series (FTS) model [8] for determining the forthcoming
number of COVID-19 … The rationale behind the choice of the ARIMA model is the following: …
number of COVID-19 … The rationale behind the choice of the ARIMA model is the following: …
Particle swarm optimization of partitions and fuzzy order for fuzzy time series forecasting of COVID-19
N Kumar, S Susan - Applied Soft Computing, 2021 - Elsevier
… for fuzzy time series forecasting of the COVID-19 pandemic … in various fuzzy hybrid models,
so we decided to use the PSO … the performance of our models with the ARIMA, FbProphet, …
so we decided to use the PSO … the performance of our models with the ARIMA, FbProphet, …
Trajectory of COVID-19 data in India: investigation and project using artificial neural network, fuzzy time series and ARIMA models
… time series, we see clearly fro Table3 that the ARIMA model fit … Forecasting COVID-19
epidemic in India and high incidence … Application of fuzzy time series to population forecasting, …
epidemic in India and high incidence … Application of fuzzy time series to population forecasting, …
EVDHM-ARIMA-based time series forecasting model and its application for COVID-19 cases
… performance is evaluated by estimating the future values of daily new cases of the recent
pandemic disease COVID-19 for India, USA, and Brazil. The high efficacy of the proposed …
pandemic disease COVID-19 for India, USA, and Brazil. The high efficacy of the proposed …
[HTML][HTML] A novel deep interval type-2 fuzzy LSTM (DIT2FLSTM) model applied to COVID-19 pandemic time-series prediction
… ARIMA were applied to predict the new cases in a short-term … DIT2FLSTM model for predicting
the COVID-19 time series as … the proposed model is not limited to this specific application. …
the COVID-19 time series as … the proposed model is not limited to this specific application. …
Covid-19 statistics, strange trend and forecasting of total cases in the most infected African countries: An ARIMA and Fuzzy Time Series approaches
… the class of ARIMA models and Fuzzy Time Series. The techniques … of this pandemic, it is
seen that ARIMA models fits well the … We will use in this study the heuristic fuzzy time approach, …
seen that ARIMA models fits well the … We will use in this study the heuristic fuzzy time approach, …
Forecasting the spread of COVID-19 pandemic in Bangladesh using ARIMA model
LR Kundu, MZ Ferdous, US Islam, M Sultana - medRxiv, 2020 - medrxiv.org
… to predict the spread and the final size of COVID-19 epidemic in … Regressive Integrated Moving
Average (ARIMA) model. The … applying a commonly used time series model, known as an …
Average (ARIMA) model. The … applying a commonly used time series model, known as an …
On the prediction of COVID-19 time series: an intuitionistic fuzzy logic approach
… predict the COVID-19 pandemic. In this study, the use of intuitionistic fuzzy set to predict
COVID-19 pandemic cases … [25] applied arima and fuzzy time series models while Van Tinh [26] …
COVID-19 pandemic cases … [25] applied arima and fuzzy time series models while Van Tinh [26] …
… wavelet decomposition and autoregressive integrated moving average (ARIMA) models in application to one month forecast the casualties cases of COVID-19
… (COVID-19) pandemic … ARIMA models on the time series data refined by wavelet decomposition
methods. Thus, the coupled models can improve forecasting performance by modeling …
methods. Thus, the coupled models can improve forecasting performance by modeling …
An overview of forecast analysis with ARIMA models during the COVID-19 pandemic: Methodology and case study in Brazil
… Within the realm of time series data, ARIMA models have been widely studied … COVID-19
outbreak in Recife, Brazil, with a primary focus on the application and efficacy of ARIMA models …
outbreak in Recife, Brazil, with a primary focus on the application and efficacy of ARIMA models …