In this study, an artificial neural network (ANN) has been developed to predict the boundary
layer flow of a single‐walled carbon nanotubes nanofluid toward three different nonlinear …

In current investigation, a novel implementation of intelligent numerical computing solver
based on multi-layer perceptron (MLP) feed-forward back-propagation artificial neural …

In this study, forced convective heat and mass transfer of a nanofluid using the Buongiorno
model and moving radially through a thin needle has been analyzed using the Runge–Kutta …

The low heat efficiency of base fluids is a key problem among investigators. To address this
issue, investigators utilize tiny-sized (1–100 nm) metal solid material inside the base fluids to …

This study explores the impacts of heat transportation on hybrid (Ag+ MgO) nanofluid flow in
a porous cavity using artificial neural networks (Bayesian regularization approach (BRT …

Scientists have made significant contributions in the current decade due to the importance of
bioconvection in biotechnology and a variety of biological systems. In this study, a …

Mixed convection phenomenon over radiant cooled surfaces with displacement ventilation
in living environments is becoming a popular issue due to the airborne viruses and energy …

In this study, the thermal conductivity of TiO 2-CaCO 3/water hybrid nanofluid, which was
prepared with five different concentrations and two-step method, was experimentally …

The difficulty of the production stages of panel radiators used for heating purposes reveals
the importance of determining the heat transfer performance and panel radiator weight …

The use of nanotechnology has led to the design of many modern and more cost-effective
implementation, such as solar power generation, the redevelopment of heat exchangers …