A Hybrid Method for Analyzing the Situation Based on Cumulative Fully Vaccinated and Confirmed Cases of Covid-19 in Malaysia
Author:
Affiliation:
1. Universiti Malaysia Pahang (UMP),Faculty of Electrical & Electronics Engineering Technology,Pahang,Malaysia
2. Green University of Bangladesh,Department of Computer Science and Engineering
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10103226/10103227/10103265.pdf?arnumber=10103265
Reference24 articles.
1. COVID-19 prevalence forecasting using Autoregressive Integrated Moving Average (ARIMA) and Artificial Neural Networks (ANN): Case of Turkey;toga;Journal of Infection and Public Health,2021
2. A Review on Optimization of Least Squares Support Vector Machine for Time Series Forecasting
3. COVID-19 Time Series Prediction
4. Prediction of water quality index (WQI) using support vector machine (SVM) and least square-support vector machine (LS-SVM)
5. COVID-19 Confirmed Cases Prediction in China Based on Barnacles Mating Optimizer-Least Squares Support Vector Machines
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