| |
original article |
Date |
Title |
Authors All Authors |
| 1 |
[GO] |
2025―Jun―26 |
Predictive modeling and intervention strategies for COVID-19 spread estimation using machine learning and computational intelligence techniques |
Manal Almuzini, Farah A. Abdullah, Matthew O. Adewole, S. A. Khuri, Shaher Momani |
| 2 |
[GO] |
2024―Sep―23 |
Automated diagnosis of COVID-19 using chest X-ray image processing by a Convolutional Neural Network |
Reem Alotaib, Abir Alharbi, Abdulaziz Algethami, Abdulkader Alkenawi |
| 3 |
[GO] |
2022―Dec―27 |
Integer cum fractional ordered active-adaptive synchronisation to control vasospasm in chaotic blood vessels to reduce risk of COVID-19 infections |
Piyush P. Singh, Manashita Borah, Asim Datta, Sajad Jafari, Binoy K. Roy |
| 4 |
[GO] |
2022―Nov―16 |
Maximum likelihood estimation for a stochastic SEIR system with a COVID-19 application |
Fernando Baltazar-Larios, Francisco Delgado-Vences, Saul Diaz-Infante |
| 5 |
[GO] |
2021―Jun―28 |
Taylor collocation method for a system of nonlinear Volterra delay integro-differential equations with application to COVID-19 epidemic |
Hafida Laib, Azzeddine Bellour, Aissa Boulmerka |
| 6 |
[GO] |
2021―May―14 |
Identification and prediction of time-varying parameters of COVID-19 model: a data-driven deep learning approach |
Jie Long, A. Q. M. Khaliq, K. M. Furati |
