[HTML][HTML] A neural network computational procedure for the novel designed singular fifth order nonlinear system of multi-pantograph differential equations
The current investigations present the numerical solutions of the novel singular nonlinear
fifth-order (SNFO) system of multi-pantograph differential model (SMPDM), ie, SNFO …
fifth-order (SNFO) system of multi-pantograph differential model (SMPDM), ie, SNFO …
Modeling and predicting heat transfer performance in bioconvection flow around a circular cylinder using an artificial neural network approach
The current research aims to study the heat transfer rate in mixed convection flow of viscous
fluid along a vertical cylinder containing swimming microorganisms and velocity slip effects …
fluid along a vertical cylinder containing swimming microorganisms and velocity slip effects …
Prediction of electrochemical corrosion behavior of magnesium alloy using machine learning methods
The corrosion of magnesium (Mg) alloys is a major challenge in many industrial applications
because of their extreme reactivity, this greatly limits their applicability. The traditional …
because of their extreme reactivity, this greatly limits their applicability. The traditional …
Application of machine learning and multivariate statistics to predict uniaxial compressive strength and static Young's modulus using physical properties under …
Uniaxial compressive strength (UCS) and the static Young's modulus (Es) are fundamental
parameters for the effective design of engineering structures in a rock mass environment …
parameters for the effective design of engineering structures in a rock mass environment …
The performance analysis of a variable geometry ejector utilizing CFD and artificial neural network
K Abbady, N Al-Mutawa, A Almutairi - Energy Conversion and Management, 2023 - Elsevier
Currently, ejector-based refrigeration applications are attracting much attention as ways of
improving refrigeration systems and energy conversion applications. The ejector …
improving refrigeration systems and energy conversion applications. The ejector …
A reliable neural network framework for the Zika system based reservoirs and human movement
The motive of current investigations provides the numerical solutions of the neuro computing
solver based on the Levenberg-Marquardt backpropagation neural network approach (LMB) …
solver based on the Levenberg-Marquardt backpropagation neural network approach (LMB) …
Magnetized bioconvective thermal efficacy of ferromagnetic nanoparticles involving appliance of radiation and viscous dissipation
The research on nanotechnology is on peak because of its noteworthy applications
including cure of cancer, industrialization of latest aircraft, enhanced heat transmission …
including cure of cancer, industrialization of latest aircraft, enhanced heat transmission …
[HTML][HTML] Novel feature selection based ANN for optimal solar panels tilt angles prediction in micro grid
Predicting PV system electricity output is necessary for daily operational management and
annual power system planning when integrating solar collector-based photovoltaic (PV) …
annual power system planning when integrating solar collector-based photovoltaic (PV) …
Intelligent networks knacks for numerical treatment of three-dimensional Darcy–Forchheimer Williamson nanofluid model past a stretching surface
Due to its resilience, accurate prediction, simulation and effective evaluation, artificial-
intelligence-based applications have gained the attention of researchers. Here, in our study …
intelligence-based applications have gained the attention of researchers. Here, in our study …
[HTML][HTML] A design of computational stochastic framework for the mathematical severe acute respiratory syndrome coronavirus model
This study presents the comprehensive investigations into the dynamics of a novel
coronavirus infection within a population, which accounts for all potential interactions in the …
coronavirus infection within a population, which accounts for all potential interactions in the …