Dynamic Modeling and Identification of the COVID-19 Stochastic Dispersion-Reference-Cited by-同舟云学术

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Dynamic Modeling and Identification of the COVID-19 Stochastic Dispersion

Published:2022-10-12 Issue: Volume: Page:
ISSN:
Container-title:2022 20th International Conference on Language Engineering (ESOLEC)
language:
Short-container-title:

Author:

Taher M.¹,Hedaya Mohammed M.²,Bakeer Bahi²,Kafrawy Passant El³,Zakaria Mahmoud²

Affiliation:

1. Nile University,Department of Computer Science,Cairo,Egypt

2. Ain Shams University,Department of Design and Production Engineering,Cairo,Egypt

3. School of Information Technology and Computer Science, Nile University,CIS research center,Computer Science Department,Egypt

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10009020/10009067/10009467.pdf?arnumber=10009467

Reference13 articles.

1. Stochastic modeling, analysis, and simulation of the COVID-19 pandemic with explicit behavioral changes in Bogotá: A case study

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