Comparison Analysis of Prediction the Number of Covid-19 Cases Using Support Vector Regression and Long Short-Time Memory-Reference-Cited by-同舟云学术

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Comparison Analysis of Prediction the Number of Covid-19 Cases Using Support Vector Regression and Long Short-Time Memory

Published:2022-11-22 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Creative Communication and Innovative Technology (ICCIT)
language:
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Author:

Henderi ¹,Sudaryono ¹,Isnaeni Tubagus Mochamad¹,Sitinur Aisyah Euis²,Budiarto Mukti¹,Hamdani Hamdani³

Affiliation:

1. University of Raharja,Faculty of Science and Technology,Department of Informatics,Tangerang,Indonesia

2. University of Raharja,Education of Information Technology Faculty of Science and Technology,Tangerang,Indonesia

3. Universitas Mulawarman,Department of Informatics,Samarinda,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10118583/10118585/10119090.pdf?arnumber=10119090

Reference37 articles.

1. A Generalized Mechanistic Model for Assessing and Forecasting the Spread of the COVID-19 Pandemic

2. An Application of Mask Detector For Prevent Covid-19 in Public Services Area

3. Predicting the Epidemics Trend of COVID-19 Using Epidemiological-Based Generative Adversarial Networks

4. Analysis of the Spread of COVID-19 in Local Areas in Indonesia

5. Estimating and analyzing the spread of Covid-19 in Turkey using Long Short-Term Memory;güçlü;2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT),2021

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