Combining Machine Learning Models with ARIMA for COVID-19 Epidemic in Thailand-Reference-Cited by-同舟云学术

Combining Machine Learning Models with ARIMA for COVID-19 Epidemic in Thailand

Published:2023-08-24 Issue: Volume: Page:
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Container-title:2023 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C)
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Author:

Srisuradetchai Patchanok¹,Panichkitkosolkul Wararit¹,Phaphan Wikanda²

Affiliation:

1. Thammasat University,Faculty of Science and Technology,Department of Mathematics and Statistics,Pathum Thani,Thailand

2. King Mongkut's University of Technology North Bangkok,Faculty of Applied Science,Department of Applied Statistics,Bangkok,Thailand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10355960/10355935/10356011.pdf?arnumber=10356011

Reference17 articles.

1. Analysis and Prediction of COVID-19 Using SIR, SEIQR, and Machine Learning Models: Australia, Italy, and UK Cases

2. Challenging the spread of COVID-19 in Thailand

3. Monitoring the COVID-19 Situation in Thailand

4. Responding to the COVID-19 second wave in Thailand by diversifying and adapting lessons from the first wave

5. Forecasting modeling of the number of cumulative COVID-19 cases with deaths and recoveries removal in Thailand;Areepong;Sci. Eng. Health Stud.,2021

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