SARIMA model forecasting performance of the COVID-19 daily statistics in Thailand during the Omicron variant epidemic
K Duangchaemkarn, W Boonchieng, P Wiwatanadate… - Healthcare, 2022 - mdpi.com
This study aims to identify and evaluate a robust and replicable public health predictive
model that can be applied to the COVID-19 time-series dataset, and to compare the model …
model that can be applied to the COVID-19 time-series dataset, and to compare the model …
Forecasting the Severity of COVID‐19 Pandemic Amidst the Emerging SARS‐CoV‐2 Variants: Adoption of ARIMA Model
C Li, AK Sampene, FO Agyeman… - … Methods in Medicine, 2022 - Wiley Online Library
Currently, the global report of COVID‐19 cases is around 110 million, and more than 2.43
million related death cases as of February 18, 2021. Viruses continuously change through …
million related death cases as of February 18, 2021. Viruses continuously change through …
Hybrid intelligent parameter tuning approach for COVID-19 time series modeling and prediction
A novel hybrid intelligent approach for tuning the parameters of Interval Type-2 Intuitionistic
Fuzzy Logic System (IT2IFLS) is introduced for the modeling and prediction of coronavirus …
Fuzzy Logic System (IT2IFLS) is introduced for the modeling and prediction of coronavirus …
Forecasting of coronavirus active cases by utilizing logistic growth model and fuzzy time series techniques
Coronavirus has long been considered a global epidemic. It caused the deaths of nearly
7.01 million individuals and caused an economic downturn. The number of verified …
7.01 million individuals and caused an economic downturn. The number of verified …
Forecasting the spread of COVID-19 pandemic in Bangladesh using ARIMA model
LR Kundu, MZ Ferdous, US Islam, M Sultana - medRxiv, 2020 - medrxiv.org
Background COVID-19 is one of the most serious global public health threats creating an
alarming situation. Therefore, there is an urgent need for investigating and predicting COVID …
alarming situation. Therefore, there is an urgent need for investigating and predicting COVID …
On the prediction of COVID-19 time series: an intuitionistic fuzzy logic approach
This paper presents a time series analysis of a novel coronavirus, COVID-19, discovered in
China in December 2019 using intuitionistic fuzzy logic system with neural network learning …
China in December 2019 using intuitionistic fuzzy logic system with neural network learning …
Modeling of the COVID‐19 Cases in Gulf Cooperation Council Countries Using ARIMA and MA‐ARIMA Models
Coronavirus disease 2019 (COVID‐19) is still a great pandemic presently spreading all
around the world. In Gulf Cooperation Council (GCC) countries, there were 1015269 COVID …
around the world. In Gulf Cooperation Council (GCC) countries, there were 1015269 COVID …
[HTML][HTML] A fuzzy graph approach analysis for COVID-19 outbreak
Complex systems require rigorous analysis using effective method, in order to handle and
interpret their information. Spectrum produced from Fourier transform infrared (FTIR) …
interpret their information. Spectrum produced from Fourier transform infrared (FTIR) …
Forecasting adversities of COVID-19 waves in India using intelligent computing
The second wave of the COVID-19 pandemic outburst triggered enormously all over India.
This ill-fated and fatal brawl affected millions of Indian citizens, with many active and infected …
This ill-fated and fatal brawl affected millions of Indian citizens, with many active and infected …
A Decision-Making Approach to Optimize COVID-19 Treatment Strategy under a Conjunctive Complex Fuzzy Environment
Symmetry is a key part of the study of basic forces and particles, as well as the creation of
mathematical models that help scientists in various scientific disciplines understand complex …
mathematical models that help scientists in various scientific disciplines understand complex …