Intelligent solution predictive networks for non-linear tumor-immune delayed model
In this article, we analyze the dynamics of the non-linear tumor-immune delayed (TID) model
illustrating the interaction among tumor cells and the immune system (cytotoxic T …
illustrating the interaction among tumor cells and the immune system (cytotoxic T …
A novel radial basis procedure for the SIRC epidemic delay differential model
The purpose of this work is to construct a reliable stochastic framework for solving the SIRC
delay differential epidemic system, ie SIRC-DDES that is based on the coronavirus …
delay differential epidemic system, ie SIRC-DDES that is based on the coronavirus …
Neuro-evolutionary computing paradigm for the SIR model based on infection spread and treatment
The intension of the present study is to solve the nonlinear biological susceptible, infected
and recovered (SIR) models using Feed-Forward Artificial Neural Networks (FFANN) …
and recovered (SIR) models using Feed-Forward Artificial Neural Networks (FFANN) …
Numerical simulations of vaccination and Wolbachia on dengue transmission dynamics in the nonlinear model
In this study, it is indicated that the world can get rid of the dengue virus by using vaccines
and Wolbachia. In many findings, it is observed that Wolbachia therapy is efficacious in …
and Wolbachia. In many findings, it is observed that Wolbachia therapy is efficacious in …
Design of neuro-swarming computational solver for the fractional Bagley–Torvik mathematical model
This study is to introduce a novel design and implementation of a neuro-swarming
computational numerical procedure for numerical treatment of the fractional Bagley–Torvik …
computational numerical procedure for numerical treatment of the fractional Bagley–Torvik …
IoT technology enabled stochastic computing paradigm for numerical simulation of heterogeneous mosquito model
In this communication, a fractional order design and numerical form of the solutions are
presented for numerical simulations of heterogeneous mosquito model. The use of the …
presented for numerical simulations of heterogeneous mosquito model. The use of the …
Integrated neuro-evolution-based computing paradigm to study the COVID-19 transposition and severity in Romania and Pakistan
Numerical treatment of the COVID-19 transposition and severity in Romania and Pakistan
has been presented in this study, ie, ANN-GA-SQP through artificial neural network genetic …
has been presented in this study, ie, ANN-GA-SQP through artificial neural network genetic …
Dynamical analysis of nonlinear combined drug therapy model for HIV infection: Bayesian regularization technique intelligent networks
The study aims to provide an overview of the design and analysis of the differential system of
the Nonlinear Combined Drug Therapy Mathematical (NCDTM) model for HIV Infection. This …
the Nonlinear Combined Drug Therapy Mathematical (NCDTM) model for HIV Infection. This …
Intelligent predictive stochastic computing for nonlinear differential delay computer virus model
In this investigation, intelligent predictive stochastic computing is presented by exploitation
of artificial neural networks Levenberg-Marquardt approach (ANNs-LMA) to analyze the …
of artificial neural networks Levenberg-Marquardt approach (ANNs-LMA) to analyze the …
An unsupervised wavelet neural network model for approximating the solutions of non-linear nervous stomach model governed by tension, food and medicine
AK Sahoo, S Chakraverty - Computer Methods in Biomechanics …, 2024 - Taylor & Francis
The human stomach is a complex organ. Its role is to degrade food particles by using
mechanical forces and chemical reactions in order to release nutrients. All ingested items …
mechanical forces and chemical reactions in order to release nutrients. All ingested items …