A novel honey badger algorithm with multilayer perceptron for predicting COVID-19 time series data

Author:

Qasem Sultan Noman

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Reference51 articles.

1. Chyon FA, Suman MNH, Fahim MRI, Ahmmed MS (2022) Time series analysis and predicting COVID-19 affected patients by ARIMA model using machine learning. J Virol Methods 301:114433

2. Unicef, WHO, IFRC, 2020. Key messages and actions for prevention and control in schools. Key Messages and Actions for COVID-19 Prevention and Control in Schools (March), p. 13. Available at: https://www.who.int/docs/default-source/ coronaviruse/key-messages-and-actions-for-COVID-19-prevention-and-control-inschools-march 2020.pdf?sfvrsn=baf81d52_4#:~:text=COVID-19isa,2019-nCoV.

3. Alazab M et al (2020) COVID-19 prediction and detection using deep learning. Int J Comput Inf Syst Ind Manage Appl 12(April):168–181

4. Bhattacharyya A, Chakraborty T, Rai SHN (2022) Stochastic forecasting of COVID-19 daily new cases across countries with a novel hybrid time series model. Nonlinear Dyn 107:3025–3040

5. The Global Economic Outlook During the COVID-19 Pandemic: A Changed World (2020). Available at: https://www.worldbank.org/en/news/feature/2020/06/0 8/the-global-economic-outlook-during-the-COVID-19-pandemic-a-changed-world (Accessed: 23 November 2020).

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