Recently, the applications of artificial intelligence through soft computing and machine
learning algorithms have become the focal point of researcher's consideration on account of …

The growing attractiveness of Artificial Neural Networks (ANNs) derives from their
exceptional effectiveness in handling difficult and exceptionally nonlinear mathematical …

The current research focuses on harnessing the computational power of neural networks,
notably the Levenberg-Marquardt backpropagation optimization algorithm (ANN-LMBOA), to …

Exploration and exploitation of intelligent computing infrastructures are becoming of great
interest for the research community to investigate different fields of science and engineering …

Bioconvection due to microorganisms is important area of research, considerably
importance for environment and sustainable fuel cell technologies. Buongiorno nanofluid …

The purpose of study is to present a new nanofluidic model and its solution that describes
steady couple stress magnetic Casson nanofluid flow in the presence of Cattaneo-Christov …

The present study investigates the significance of activation energy during chemical
reactions, thermal radiations and temperature gradient of 3-D steady Magnetohydrodynamic …

The use of artificial neural networks (ANNs) to solve complex fluid dynamics problems has
revolutionized computational approaches. This article explores novel ANN solutions for fluid …

This paper explores the numerical optimization of heat and mass transfer in the buoyancy-
driven Al2O3-water nanofluid flow containing electrified Al2O3-nanoparticles adjacent to a …

The artificial intelligence based neural networking with Back Propagated Levenberg-
Marquardt method (NN-BPLMM) is developed to explore the modeling of double‐diffusive …