Abstract Machine learning (ML) has evolved as a technology used in even broader domains,
ranging from spam detection to space exploration, as a result of the boom in available data …

In this work, artificial neural network (ANN), a machine learning technique is applied in the
field of stress recovery in finite element analysis (FEA). The most crucial design factor in …

This study presents a novel numerical integration technique based on Artificial Neural
Network (ANN) algorithms to overcome intrinsic limitations characterizing the Boundary …

The finite element method (FEM) is a well-known method for numerically solving partial
differential equations (PDEs) over a physical domain. It has been applied successfully to …

Isogeometric analysis (IGA) is a numerical method to solve partial differential equations,
which takes the computer-aided design (CAD) model for the analysis of various field …

The advancement of computers has led to collection and handling of huge data from various
resources. The inherent properties of computational mechanics application can be extracted …

The paper presents an extensive review of the application of machine learning (ML)
techniques, especially artificial neural networks (ANNs), in the realm of crashworthiness …

The finite element method (FEM) is a popular numerical technique for solving partial
differential equations (PDEs) arising in computational modeling. Several engineering …