A novel design of inverse multiquadric radial basis neural networks to analyze MHD nanofluid boundary layer flow past a wedge embedded in a porous medium …
The current study explores a new direction of research in which the magnetohydrodynamic
(MHD) effects on two-dimensional nanofluid boundary layer flow under the influence of …
(MHD) effects on two-dimensional nanofluid boundary layer flow under the influence of …
Neuro-computational intelligence for numerical treatment of multiple delays SEIR model of worms propagation in wireless sensor networks
In this study, the dynamics of a nonlinear multiple delays susceptible, exposed, infected,
recovered (SEIR) model for worms propagation in wireless sensor networks (WSNs) …
recovered (SEIR) model for worms propagation in wireless sensor networks (WSNs) …
Intelligent backpropagation networks with bayesian regularization for mathematical models of environmental economic systems
The research community of environmental economics has had a growing interest for the
exploration of artificial intelligence (AI)-based systems to provide enriched efficiencies and …
exploration of artificial intelligence (AI)-based systems to provide enriched efficiencies and …
A novel design of morlet wavelet to solve the dynamics of nervous stomach nonlinear model
The present study introduces a novel design of Morlet wavelet neural network (MWNN)
models to solve a class of a nonlinear nervous stomach system represented with governing …
models to solve a class of a nonlinear nervous stomach system represented with governing …
Stochastic numerical computing for entropy optimized of Darcy-Forchheimer nanofluid flow: Levenberg Marquardt Algorithm
The work in hand examines the entropy generation of magnetohydrodynamic Darcy-
Forchheimer nanofluid flow model (MHD-DFNM) over a stretched surface via Artificial back …
Forchheimer nanofluid flow model (MHD-DFNM) over a stretched surface via Artificial back …
Knacks of neuro-computing to study the unsteady squeezed flow of MHD carbon nanotube with entropy generation
The major purpose of this article is to exploit the strength of the Intelligent Back-propagated
Neural Networks of Levenberg Marquardt Technique (IBNN-LMT) to study three …
Neural Networks of Levenberg Marquardt Technique (IBNN-LMT) to study three …
Design of inverse multiquadric radial basis neural networks for the dynamical analysis of MHD casson nanofluid flow along a nonlinear stretchable porous surface …
The present research, a numerical approach to examine magnetohydrodynamics (MHD)
Casson nanofluid flow in a porous medium along a stretchable surface with different slips …
Casson nanofluid flow in a porous medium along a stretchable surface with different slips …
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 …
Intelligent computing networks for nonlinear influenza-A epidemic model
The differential equations having delays take paramount interest in the research community
due to their fundamental role to interpret and analyze the mathematical models arising in …
due to their fundamental role to interpret and analyze the mathematical models arising in …
Inverse multiquadric kernel‐based neuro heuristic approach to analyze the unsteady MHD nanofluid flow via permeable elongating surface
In this study, a novel neuro heuristic approach is designed to investigate the flow properties
of magnetohydrodynamic (MHD) nanofluid along an exponentially extending sheet with a …
of magnetohydrodynamic (MHD) nanofluid along an exponentially extending sheet with a …