On-Line Data Processing, Simulation and Forecasting of the Coronavirus Disease (COVID-19) Propagation in Ukraine Based on Machine Learning Approach-Reference-Cited by-同舟云学术

On-Line Data Processing, Simulation and Forecasting of the Coronavirus Disease (COVID-19) Propagation in Ukraine Based on Machine Learning Approach

Published:2020 Issue: Volume: Page:372-382
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Chumachenko Dmytro^ORCID,Chumachenko Tetyana^ORCID,Meniailov Ievgen^ORCID,Pyrohov Pavlo^ORCID,Kuzin Ihor^ORCID,Rodyna Roman^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-61656-4_25

Reference46 articles.

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2. Bazilevych, K., Mazorchuk, M., Parfeniuk, Y., Dobriak, V., Meniailov, I., Chumachenko, D.: Stochastic modelling of cash flow for personal insurance fund using the cloud data storage. Int. J. Comput. 17, 153–162 (2018)

3. Bazilevych, K., Meniailov, I., Fedulov, K., Goranina, S., Chumachenko, D., Pyrohov, P. (eds.): Determining the Probability of Heart Disease using Data Mining Methods, CEUR Workshop Proceedings, vol. 2488. CEUR-WS.org (2019)

4. Bedford, J., Enria, D., Giesecke, J., et al.: COVID-19: towards controlling of a pandemic. Lancet 395 (2020). https://doi.org/10.1016/S0140-6736(20)30673-5

5. Chumachenko, D., Chumachenko, K., Yakovlev, S.: Intelligent simulation of network worm propagation using the code red as an example. Telecommun. Radio Eng. 78, 443–464 (2019). https://doi.org/10.1615/TelecomRadEng.v78.i5.60

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