Numerical investigation of a fractional order Wolbachia invasive model using stochastic Bayesian neural network-Reference-Cited by-同舟云学术

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Numerical investigation of a fractional order Wolbachia invasive model using stochastic Bayesian neural network

Published:2024-04 Issue: Volume:93 Page:303-327
ISSN:1110-0168
Container-title:Alexandria Engineering Journal
language:en
Short-container-title:Alexandria Engineering Journal

Author:

Faiz Zeshan^ORCID,Javeed Shumaila,Ahmed Iftikhar,Baleanu Dumitru^ORCID

Publisher

Elsevier BV

Reference61 articles.

1. The global distribution and burden of dengue;Bhatt;Nature,2013

2. Two-sex mosquito model for the persistence of Wolbachia;Xue;J. Biol. Dyn.,2017

3. The wMel Wolbachia strain blocks dengue and invades caged Aedes aegypti populations;Walker;Nature,2011

4. Mathematical analysis of a Wolbachia invasive model with imperfect maternal transmission and loss of Wolbachia infection;Adekunle;Infect. Dis. Model.,2019

5. World Mosquito Program(〈https://www.worldmosquitoprogram.org/〉).

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Neural Network for FCEVs and RM Power Management using V2G technology;2024 International Conference on Circuit, Systems and Communication (ICCSC);2024-06-28

2. A Semi-Runge-Kutta Method for Incommensurate Systems of Fractional Differential Equations;2024

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