Bio-inspired computational heuristics to study models of HIV infection of CD4+ T-cell

DOI10.1142/S1793524518500195zbMath1384.92006OpenAlexW2770833878WikidataQ57600072 ScholiaQ57600072MaRDI QIDQ4604849

Kiran Asma, Muhammad Saeed Aslam, Muhammad Asif Zahoor Raja

Publication date: 6 March 2018

Published in: International Journal of Biomathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s1793524518500195

zbMATH Keywords

genetic algorithmsartificial neural networksbioinformaticsHIV infection model

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Medical applications (general) (92C50) Numerical methods for initial value problems involving ordinary differential equations (65L05) Computational methods for problems pertaining to biology (92-08)

Related Items (6)

Stability analysis and memetic computation using differential evolution for in-host HIV model ⋮ Neuro-evolution computing for nonlinear multi-singular system of third order Emden-Fowler equation ⋮ Neuro-swarm intelligent computing paradigm for nonlinear HIV infection model with CD4+ T-cells ⋮ Design of computational intelligent procedure for thermal analysis of porous fin model ⋮ Intelligent computing networks for nonlinear influenza-A epidemic model ⋮ Designing of Morlet wavelet as a neural network for a novel prevention category in the HIV system

Cites Work

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• Global properties of basic virus dynamics models
• A numerical approach to solve the model for HIV infection of CD4\(^{+}\)T cells
• Solving a fractional order model of HIV infection of \(CD4^{+}\) T cells
• Global dynamics of a mathematical model for HTLV-I infection of \(CD4^{+}T\) cells with delayed CTL response
• A fractional-order model of HIV infection with drug therapy effect
• Numerical solution of systems of second-order boundary value problems using continuous genetic algorithm
• Stochastic numerical treatment for solving Troesch's problem
• The Laplace Adomian decomposition method for solving a model for HIV infection of \(CD4^{+}T\) cells
• On the numerical solution of the model for HIV infection of \(CD4^{+}\) T cells
• Numerical treatment of the model for HIV infection of CD4\(^{+}\)T cells by using multistep Laplace Adomian decomposition method
• Fighting a virus with a virus: A dynamic model for HIV-1 therapy
• Restricted occupancy models for neutralization of HIV virions and populations
• An efficient computational intelligence approach for solving fractional order Riccati equations using ANN and SQP
• Complex patterns of viral load decay under antiretroviral therapy: influence of pharmacokinetics and intracellular delay
• Numerical solutions of fuzzy differential equations using reproducing kernel Hilbert space method
• Infection dynamics in HIV-specific CD4 T cells: does a CD4 T cell boost benefit the host or the virus?
• Drug concentration heterogeneity facilitates the evolution of drug resistance
• Virus Dynamics: A Global Analysis
• Practical Genetic Algorithms

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