Detection of lameness and determination of the affected forelimb in horses by use of continuous wavelet transformation and neural network classification of kinematic data KG Keegan, S Arafat, M Skubic, DA Wilson, J Kramer American journal of veterinary research 64 (11), 1376-1381, 2003 | 57 | 2003 |
Classification of coronary artery disease stress ECGs using uncertainty modeling S Arafat, M Dohrmann, M Skubic 2005 ICSC Congress on Computational Intelligence Methods and Applications, 4 pp., 2005 | 34 | 2005 |
Eigenspace time frequency based features for accurate seizure detection from EEG data M Deriche, S Arafat, S Al-Insaif, M Siddiqui IRBM 40 (2), 122-132, 2019 | 29 | 2019 |
Cardiac arrhythmia classification using hierarchical classification model R Ahmed, S Arafat 2014 6th International Conference on Computer Science and Information …, 2014 | 26 | 2014 |
Detection of spinal ataxia in horses using fuzzy clustering of body position uncertainty KG Keegan, S Arafat, M Skubic, DA Wilson, J Kramer, NM Messer, ... Equine veterinary journal 36 (8), 712-717, 2004 | 22 | 2004 |
Uncertainty modeling for classification and analysis of medical signals SMA Arafat University of Missouri-Columbia, 2003 | 16 | 2003 |
Modeling fuzziness measures for best wavelet selection SMA Arafat, M Skubic IEEE Transactions on Fuzzy Systems 16 (5), 1259-1270, 2008 | 13 | 2008 |
Combined uncertainty model for best wavelet selection S Arafat, M Skubic, K Keegan The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ'03. 2 …, 2003 | 10 | 2003 |
Automatic detection of epilepsy using EEG energy and frequency bands SA Bellegdi, SMA Arafat International Journal of Applied Mathematics Electronics and Computers, 36-41, 2017 | 6 | 2017 |
Fuzzy-genetic model for the identification of falls risk gait MR Hassan, SM Arafat, RK Begg Procedia Computer Science 82, 4-11, 2016 | 6 | 2016 |
Arrhythmia detection using mutual information-based integration method O Soufan, S Arafat arXiv preprint arXiv:1502.01733, 2015 | 4 | 2015 |
Comparison of effect of aquatic interventions on cardiac modulation of obese young males in motion. A crossover trial E Tufekcioglu, F Konukman, S Arafat, AM Almalty, A Kanniyan, B Filiz Biomedical Human Kinetics 13 (1), 20-28, 2021 | 3 | 2021 |
Computational intelligence for cardiac arrhythmia classification SA Bellegdi, S Mohandes, OM Soufan, S Arafat UKCI 2011, 93-97, 2011 | 3 | 2011 |
A Multiclass Epilepsy Identification Technique Using Wavelet-Based Features SA Bellegdi, M Deriche, SMA Arafat 2018 15th International Multi-Conference on Systems, Signals & Devices (SSD …, 2018 | 1 | 2018 |
CAD detection using neural network fusion of the 12 lead stress ECG system GM BinMakhashen, SMA Arafat, ML Dohrmann Information fusion 6 (7), 8, 2014 | 1 | 2014 |
Analysis of HRV and Blood Pressure Variables of Obese Male Subjects After Aquatic Therapies S Arafat Proceedings of the International Conference on Advanced Technologies 11, 204-206, 2023 | | 2023 |
Sensitivity of multilayer neural network classifiers to random variation in weights and biases SM Arafat University of Missouri-Columbia, 1992 | | 1992 |
Detection of lameness and determination of the affected forelimb in lame horses by use of continuous wavelet transformation and neural network classification of kinematic data KG Keegan, S Arafat, M Skubic, DA Wilson, J Kramer | | |