Real‐time biomechanics using the finite element method and machine learning: Review and perspective

R Phellan, B Hachem, J Clin, JM Mac‐Thiong… - Medical …, 2021 - Wiley Online Library
Purpose The finite element method (FEM) is the preferred method to simulate phenomena in
anatomical structures. However, purely FEM‐based mechanical simulations require …

What can artificial intelligence and machine learning tell us? A review of applications to equine biomechanical research

S Mouloodi, H Rahmanpanah, S Gohery… - Journal of the …, 2021 - Elsevier
Artificial intelligence (AI) and machine learning (ML) are fascinating interdisciplinary
scientific domains where machines are provided with an approximation of human …

A data-driven normal contact force model based on artificial neural network for complex contacting surfaces

J Ma, S Dong, G Chen, P Peng, L Qian - Mechanical Systems and Signal …, 2021 - Elsevier
Proper modelling of contact/impact phenomenon is critical to ensure reliable description of
the overall dynamic behaviors of mechanical systems. The past few decades witnessed …

Multi-objective shape optimization of bone scaffolds: Enhancement of mechanical properties and permeability

AH Foroughi, MJ Razavi - Acta Biomaterialia, 2022 - Elsevier
Porous scaffolds have recently attracted attention in bone tissue engineering. The implanted
scaffolds are supposed to satisfy the mechanical and biological requirements. In this study …

Prediction of load-displacement curve in a complex structure using artificial neural networks: A study on a long bone

H Rahmanpanah, S Mouloodi, C Burvill… - International Journal of …, 2020 - Elsevier
Long bones are composite materials possessing nonhomogeneous and anisotropic
properties. They repair themselves (self-repairing) and adapt to changing mechanical …

Feedforward backpropagation artificial neural networks for predicting mechanical responses in complex nonlinear structures: A study on a long bone

S Mouloodi, H Rahmanpanah, S Gohery… - Journal of the …, 2022 - Elsevier
Feedforward backpropagation artificial neural networks (ANNs) have been increasingly
employed in many engineering practices concerning materials modeling. Despite their …

DISubNet: depthwise separable inception subnetwork for pig treatment classification using thermal data

SJ Colaco, JH Kim, A Poulose, S Neethirajan, DS Han - Animals, 2023 - mdpi.com
Simple Summary Thermal imaging is gaining popularity in poultry, swine, and dairy animal
husbandry for detecting disease and distress. In this study, we present a depthwise …

A new analytical solution for elastic flexure of thick multi-layered composite hybrid plates resting on Winkler elastic foundation in air and water

S Gohari, S Mouloodi, F Mozafari, R Alebrahim… - Ocean …, 2021 - Elsevier
A new analytical flexural solution based on double finite integral Fourier transform and
trigonometric series differentiation procedures was developed for thick multi-layered …

Analytical solution of the electro-mechanical flexural coupling between piezoelectric actuators and flexible-spring boundary structure in smart composite plates

S Gohari, F Mozafari, N Moslemi, S Mouloodi… - Archives of Civil and …, 2021 - Springer
An analytical solution has been developed developed in this research for electro-
mechanical flexural response of smart laminated piezoelectric composite rectangular plates …

The use of deep learning algorithms to predict mechanical strain from linear acceleration and angular rates of motion recorded from a horse hoof during exercise

S Mouloodi, H Rahmanpanah, C Martin… - International Journal of …, 2022 - Elsevier
Mobility solutions offered by living creatures have inspired engineers to capture their
locomotion patterns and then develop novel animal-like robots that use legs for locomotion …