Fourth Edition of the International Conference on Research in Applied Mathematics and Computer Science ICRAMCS 2022
 March 24-25-26, 2022
Online and Face-to-Face Conference

ICRAMCS, 4 (2022) | Proceedings ISSN: 2605-7700

Research Communication | Open Access
Volume 2022 | Communication ID 121
Mathematical analysis and prediction of an epidemic using machine learning
Hassan Aghdaoui, Mouhcine Tilioua
Academic Editor: Youssef EL FOUTAYENI
Received
Accepted
Published
January 16, 2022
March 03, 2114
April 15, 2114

Abstract: The aim is to explore a COVID-19 SEIR model involving Atangana-Baleanu-Caputo type (ABC) fractional derivatives [2]. Existence, uniqueness, positivity, and boundedness of the solutions for the alternative model are established. Some stability results of the proposed system are also presented. To fully comprehend the dynamics of a pandemic with relevance to artificial intelligence (AI), we have used data-driven estimation methods like long short-term memory (LSTM) [1],[3]. The developed results are explained using figures which show the behaviour of achieved results.