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, S Gohari, HMS Davies International Journal of Engineering Science 154, 103319, 2020 | 54 | 2020 |
What can artificial intelligence and machine learning tell us? A review of applications to equine biomechanical research S Mouloodi, H Rahmanpanah, S Gohari, C Burvill, KM Tse, HMS Davies Journal of the Mechanical Behavior of Biomedical Materials 123, 104728, 2021 | 31 | 2021 |
Prediction of displacement in the equine third metacarpal bone using a neural network prediction algorithm S Mouloodi, H Rahmanpanah, C Burvill, HMS Davies Biocybernetics and Biomedical Engineering 40 (2), 849-863, 2020 | 27 | 2020 |
Prediction of load in a long bone using an artificial neural network prediction algorithm S Mouloodi, H Rahmanpanah, C Burvill, HMS Davies journal of the mechanical behavior of biomedical materials 102, 103527, 2020 | 27 | 2020 |
Feedforward backpropagation artificial neural networks for predicting mechanical responses in complex nonlinear structures: A study on a long bone S Mouloodi, H Rahmanpanah, S Gohari, C Burvill, HMS Davies Journal of the Mechanical Behavior of Biomedical Materials 128, 105079, 2022 | 25 | 2022 |
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, S Sharifi, H Rahmanpanah, ... Archives of Civil and Mechanical Engineering 21 (1), 33, 2021 | 24 | 2021 |
Experimental, regression learner, numerical, and artificial neural network analyses on a complex composite structure subjected to compression loading S Mouloodi, H Rahmanpanah, C Burvill, S Gohari, HMS Davies Mechanics of Advanced Materials and Structures 29 (17), 2437-2453, 2022 | 16 | 2022 |
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, S Gohari, C Burvill, HMS Davies International Journal of Mechanical Sciences 216, 106972, 2022 | 13 | 2022 |
Accuracy quantification of the reverse engineering and high-order finite element analysis of equine MC3 forelimb S Mouloodi, H Rahmanpanah, C Burvill, HMS Davies Journal of equine veterinary science 78, 94-106, 2019 | 12 | 2019 |
On 3D exact free torsional-bending vibration and buckling of biaxially loaded isotropic and anisotropic Timoshenko beams with complex cross-section S Gohari, N Moslemi, M Ahmed, S Mouloodi, H Rahmanpanah, M Kajtaz, ... Structures 49, 1044-1077, 2023 | 9 | 2023 |
Converging-diverging shape configuration of the diaphysis of equine third metacarpal bone through computer-aided design S Mouloodi, H Rahmanpanah, C Burvill, HMS Davies Comparative Exercise Physiology 15 (5), 349-358, 2019 | 8 | 2019 |
How artificial intelligence and machine learning is assisting us to extract meaning from data on bone mechanics? S Mouloodi, H Rahmanpanah, C Burvill, C Martin, S Gohari, HMS Davies Biomedical Visualisation: Volume 11, 195-221, 2022 | 6 | 2022 |
Correction to: How Artificial Intelligence and Machine Learning Is Assisting Us to Extract Meaning from Data on Bone Mechanics? S Mouloodi, H Rahmanpanah, C Burvill, C Martin, S Gohari, HMS Davies Biomedical Visualisation: Volume 11, C1-C1, 2022 | | 2022 |
Prediction of Cyclic Load from Strain Measurement in a Long Bone using an Artificial Neural Network Algorithm S Mouloodi, H Rahmanpanah, C Burvill, H Davies JOURNAL OF BONE AND MINERAL RESEARCH 35, 145-146, 2020 | | 2020 |