Bio-inspired computational heuristics to study models of HIV infection of CD4+ T-cell
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[1] Naveed Ishtiaq Chaudhary,et al. Design of bio-inspired computing technique for nanofluidics based on nonlinear Jeffery–Hamel flow equations , 2016 .
[2] Omar Abu Arqub,et al. Solution of the fractional epidemic model by homotopy analysis method , 2013 .
[3] A. Korobeinikov. Global properties of basic virus dynamics models , 2004, Bulletin of mathematical biology.
[4] A. Arafa,et al. A fractional-order model of HIV infection with drug therapy effect , 2014 .
[5] Hector Vazquez-Leal,et al. Multistage HPM Applied to Path Tracking Damped Oscillations of a Model for HIV Infection of CD4+ T Cells , 2014 .
[6] B. Korber,et al. Cross-reactive potential of human T-lymphocyte responses in HIV-1 infection. , 2014, Vaccine.
[7] Za'er Salim Abo-Hammour,et al. Numerical solution of systems of second-order boundary value problems using continuous genetic algorithm , 2014, Inf. Sci..
[8] Snehashish Chakraverty,et al. Numerical solution of nonlinear singular initial value problems of Emden-Fowler type using Chebyshev Neural Network method , 2015, Neurocomputing.
[9] M. A. Manzar,et al. An efficient computational intelligence approach for solving fractional order Riccati equations using ANN and SQP , 2015 .
[10] Dominik Wodarz,et al. Infection dynamics in HIV-specific CD4 T cells: does a CD4 T cell boost benefit the host or the virus? , 2007, Mathematical biosciences.
[11] Muhammad Asif Zahoor Raja,et al. Solution of the one-dimensional Bratu equation arising in the fuel ignition model using ANN optimised with PSO and SQP , 2014 .
[12] Shuzhi Sam Ge,et al. Coverage planning in computer-assisted ablation based on Genetic Algorithm , 2014, Comput. Biol. Medicine.
[13] Alan S. Perelson,et al. Effect of drug efficacy and the eclipse phase of the viral life cycle on estimates of HIV viral dynamic parameters. , 2001 .
[14] M A Nowak,et al. Virus dynamics and drug therapy. , 1997, Proceedings of the National Academy of Sciences of the United States of America.
[15] Ahmet Yildirim,et al. On the numerical solution of the model for HIV infection of CD4+ T cells , 2011, Comput. Math. Appl..
[16] Carsten Magnus,et al. Restricted occupancy models for neutralization of HIV virions and populations. , 2011, Journal of theoretical biology.
[17] Ş. Yüzbaşı. A numerical approach to solve the model for HIV infection of CD4+T cells , 2012 .
[18] Raja Muhammad Asif Zahoor,et al. Exactly satisfying initial conditions neural network models for numerical treatment of first Painlevé equation , 2015, Appl. Soft Comput..
[19] M. Raja. Stochastic numerical treatment for solving Troesch’s problem , 2014 .
[20] Abdul-Majid Wazwaz,et al. Stochastic numerical solver for nanofluidic problems containing multi-walled carbon nanotubes , 2016, Appl. Soft Comput..
[21] Hal L. Smith,et al. Virus Dynamics: A Global Analysis , 2003, SIAM J. Appl. Math..
[22] Shuai Li,et al. A MapReduce based parallel SVM for large-scale predicting protein-protein interactions , 2014, Neurocomputing.
[23] Snehashish Chakraverty,et al. Regression-based weight generation algorithm in neural network for solution of initial and boundary value problems , 2013, Neural Computing and Applications.
[24] M A Nowak,et al. Human immunodeficiency virus drug therapy and virus load , 1997, Journal of virology.
[25] Michael Y. Li,et al. Global dynamics of a mathematical model for HTLV-I infection of CD4+ T cells with delayed CTL response , 2012 .
[26] Ahmet Yildirim,et al. Solving a fractional order model of HIV infection of CD4+ T cells , 2011, Math. Comput. Model..
[27] N. Doğan,et al. Numerical Treatment of the Model for HIV Infection of CD4 , 2012 .
[28] A. Perelson,et al. Complex patterns of viral load decay under antiretroviral therapy: influence of pharmacokinetics and intracellular delay. , 2004, Journal of theoretical biology.
[29] Mevlüde Yakit Ongun,et al. The Laplace Adomian Decomposition Method for solving a model for HIV infection of CD4+T cells , 2011, Math. Comput. Model..
[30] Abdul-Majid Wazwaz,et al. Nature-inspired computing approach for solving non-linear singular Emden–Fowler problem arising in electromagnetic theory , 2015, Connect. Sci..
[31] Robin A. Weiss,et al. How does HIV cause AIDS , 1993 .
[32] Haruna Chiroma,et al. Neural Network Intelligent Learning Algorithm for Inter-related Energy Products Applications , 2014, ICSI.
[33] Tasawar Hayat,et al. Numerical solutions of fuzzy differential equations using reproducing kernel Hilbert space method , 2015, Soft Computing.
[34] H. Goossens,et al. mRNA-based dendritic cell vaccination induces potent antiviral T-cell responses in HIV-1-infected patients , 2012, AIDS.
[35] A S Perelson,et al. Drug concentration heterogeneity facilitates the evolution of drug resistance. , 1998, Proceedings of the National Academy of Sciences of the United States of America.
[36] Bibhas Chandra Dhara,et al. Selection of genes mediating certain cancers, using a neuro-fuzzy approach , 2014, Neurocomputing.
[37] Junaid Ali Khan,et al. Stochastic numerical treatment for thin film flow of third grade fluid using unsupervised neural networks , 2015 .
[38] Xiaoou Li,et al. Imbalanced data classification via support vector machines and genetic algorithms , 2014, Connect. Sci..
[39] G. García-Ramos,et al. Fighting a virus with a virus: a dynamic model for HIV-1 therapy. , 2003, Mathematical biosciences.
[40] A S Perelson,et al. Target cell limited and immune control models of HIV infection: a comparison. , 1998, Journal of theoretical biology.
[41] Raja Muhammad Asif Zahoor,et al. Numerical treatment for nonlinear MHD Jeffery-Hamel problem using neural networks optimized with interior point algorithm , 2014, Neurocomputing.