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.
Saved in:
| 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 |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 22277390 |
|---|---|
| DOI: | 10.3390/math12081254 |