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A Novel Computational Instrument Based on a Universal Mixture Density Network with a Gaussian Mixture Model as a Backbone for Predicting COVID-19 Variants' Distributions.

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Title: A Novel Computational Instrument Based on a Universal Mixture Density Network with a Gaussian Mixture Model as a Backbone for Predicting COVID-19 Variants' Distributions.
Authors: Al-Hadeethi, Yas1,2 (AUTHOR) yalhadeethi@kau.edu.sa, El Ramley, Intesar F.1,2 (AUTHOR) abarasheed@kau.edu.sa, Mohammed, Hiba3 (AUTHOR) 20018872@studenti.uniupo.it, Bedaiwi, Nada M.1 (AUTHOR), Barasheed, Abeer Z.1 (AUTHOR)
Source: Mathematics (2227-7390). Apr2024, Vol. 12 Issue 8, p1254. 24p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Mathematics+%282227-7390%29%22">Mathematics (2227-7390)</searchLink>. Apr2024, Vol. 12 Issue 8, p1254. 24p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=176878989
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        Value: 10.3390/math12081254
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      – TitleFull: A Novel Computational Instrument Based on a Universal Mixture Density Network with a Gaussian Mixture Model as a Backbone for Predicting COVID-19 Variants' Distributions.
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              Text: Apr2024
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