The present paper describes a method to enhance the capability of, or to broaden the scope
of computational mechanics by using deep learning, which is one of the machine learning …

Collagen hydrogels are widely used for in-vitro experiments and tissue engineering
applications. Their use has been extended due to their biocompatibility with cells and their …

To relieve the computational cost of design evaluations using expensive finite element (FE)
simulations, surrogate models have been widely applied in computer-aided engineering …

In the past three decades, biomedical engineering has emerged as a significant and rapidly
growing field across various disciplines. From an engineering perspective, biomaterials …

Today, different implant designs exist in the market; however, there is not a clear
understanding of which are the best implant design parameters to achieve mechanical …

In this study, bio-inspired computational intelligence is exploited to analyze the nonlinear
vibrational dynamics of rotating electrical machine (VD-REM) model by applying artificial …

We propose a novel Gaussian quadrature, referred to as the learned Gaussian quadrature,
that is obtained by employing a supervised learning algorithm to find improved weights for …

Patients at high risk of fracture due to metabolic diseases frequently undergo long-term
antiresorptive therapy. However, in some patients, treatment is unsuccessful in preventing …

Bone remodelling models are widely used in a phenomenological manner to estimate
numerically the distribution of apparent density in bones from the loads they are daily …

The best methods to manage tibial bone defects following total knee arthroplasty remain
under debate. Different fixation systems exist to help surgeons reconstruct knee osseous …