Article Versions Notes

Al-Hadeethi Y, El Ramley IF, Mohammed H, Bedaiwi NM, Barasheed AZ. 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. Mathematics. 2024; 12(8):1254. https://doi.org/10.3390/math12081254

Al-Hadeethi, Yas, Intesar F. El Ramley, Hiba Mohammed, Nada M. Bedaiwi, and Abeer Z. Barasheed. 2024. "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" Mathematics 12, no. 8: 1254. https://doi.org/10.3390/math12081254

Al-Hadeethi, Y., El Ramley, I. F., Mohammed, H., Bedaiwi, N. M., & Barasheed, A. Z. (2024). 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. Mathematics, 12(8), 1254. https://doi.org/10.3390/math12081254