Static and dynamic pressure prediction for prosthetic socket fitting assessment utilising an inverse problem approach P Sewell, S Noroozi, J Vinney, R Amali, S Andrews Artificial Intelligence in Medicine 54 (1), 29-41, 2012 | 50 | 2012 |
Analytical friction model for sliding bodies with coupled longitudinal and transverse vibration PU Jadav, R Amali, OB Adetoro Tribology International 126, 240-248, 2018 | 32 | 2018 |
Improvements in the accuracy of an Inverse Problem Engine's output for the prediction of below-knee prosthetic socket interfacial loads P Sewell, S Noroozi, J Vinney, R Amali, S Andrews Engineering Applications of Artificial Intelligence 23 (6), 1000-1011, 2010 | 24 | 2010 |
Predicting Interfacial Loads between the Prosthetic Socket and the Residual Limb for Below‐Knee Amputees–A Case Study R Amali, S Noroozi, J Vinney, P Sewell, S Andrews Strain 42 (1), 3-10, 2006 | 22 | 2006 |
An alternative approach to determine material characteristics using spherical indentation and neural networks for bulk metals AH Mahmoudi, SH Nourbakhsh, R Amali Journal of Testing and Evaluation 40 (2), 211-219, 2012 | 17 | 2012 |
A novel approach for assessing interfacial pressure between the prosthetic socket and the residual limb for below knee amputees using artificial neural networks R Amali, S Noroozi, J Vinney, P Sewell, S Andrews IJCNN'01. International Joint Conference on Neural Networks. Proceedings …, 2001 | 14 | 2001 |
The application of combined artificial neural network and finite element method in domain problems R Amali, S NOROUZI, J Vinney PROCEEDING OF INTERNATIONAL CONFERENCE ON ENGINEERING APPLICATION OF NEURAL …, 2000 | 10 | 2000 |
A photoelastic clinical study of the static load distribution at the stump/socket interface of PTB sockets P Sewell, J Vinney, S Noroozi, R Amali, S Andrews Prosthetics and orthotics international 29 (3), 291-302, 2005 | 5 | 2005 |
An artificial intelligence approach for measurement and monitoring of pressure at the residual limb/socket interface a clinical study R Amali, S Noroozi, J Vinney, P Sewell, S Andrews Insight-Non-Destructive Testing and Condition Monitoring 50 (7), 374-383, 2008 | 4 | 2008 |
Inverse Problem Approach using Photoelastic Analysis and Artificial Neural Networks in Tandem. S Noroozi, R Amali, J Vinney Strain 40 (2), 2004 | 4 | 2004 |
Use of Artificial Neural Networks (ANN) for Real Time Determination of Loads on In-Service Components. S Noroozi, J Vinney, R Amali IC-AI, 858-866, 2003 | 4 | 2003 |
Development of a generalized inverse problem engine for Boundary Element Analysis of a potential problem S Noroozi, J Vinney, R Amali 3rd International Conference on Boundary Element Techniques and …, 2002 | 4 | 2002 |
A novel approach to assess prosthetic socket fit based on combining experimental and empirical techniques S Andrews, S Noroozi, J Vinney, R Amali, P Sewell due to be presented at the 10th world congress of the international society …, 2001 | 4 | 2001 |
Application of Artificial Neural Network to Predict Static Loads on an Aircraft Rib R Amali, S Cooper, S Noroozi Artificial Intelligence Applications and Innovations: 10th IFIP WG 12.5 …, 2014 | 3 | 2014 |
Repair of filament wound composite pipes R Amali, H Arnall IOP Conference Series: Materials Science and Engineering 87 (1), 012055, 2015 | 2 | 2015 |
Failure identification in composite materials using Thermographics method R Amali, D McLaughlin Engineering Solid Mechanics 1 (2), 37-42, 2013 | 1 | 2013 |
Detection of Damage in Composite Materials Using Classification and Novelty Detection Methods R Amali, BJ Hughes Engineering Applications of Neural Networks: 14th International Conference …, 2013 | 1 | 2013 |
Application of combined BEA and ANN for the real time solution of 3D boundary domain problems S Noroozi, J Vinney, L Tucker, R Amali Advances in Boundary Element Techniques IV, 379, 2003 | 1 | 2003 |
Combined BEA and ANN for the analysis of 3D inverse boundary domain problems S Noroozi, R Amali, J Vinney 4th International Conference on Boundary Element Techniques and …, 2003 | 1 | 2003 |
The application of combined artificial neural network and boundary element for potential problems. S Noroozi, J Vinney, R Amali Joint Meeting of Boundary Element Techniques and International Association …, 2001 | 1 | 2001 |