EMG feature selection and classification using a Pbest-guide binary particle swarm optimization J Too, AR Abdullah, N Mohd Saad, W Tee Computation 7 (1), 12, 2019 | 167 | 2019 |
A new quadratic binary harris hawk optimization for feature selection J Too, AR Abdullah, N Mohd Saad Electronics 8 (10), 1130, 2019 | 160 | 2019 |
A new competitive binary grey wolf optimizer to solve the feature selection problem in EMG signals classification J Too, AR Abdullah, N Mohd Saad, N Mohd Ali, W Tee Computers 7 (4), 58, 2018 | 132 | 2018 |
Classification of hand movements based on discrete wavelet transform and enhanced feature extraction J Too, AR Abdullah, NM Saad International Journal of Advanced Computer Science and Applications 10 (6), 2019 | 121 | 2019 |
A new co-evolution binary particle swarm optimization with multiple inertia weight strategy for feature selection J Too, AR Abdullah, N Mohd Saad Informatics 6 (2), 21, 2019 | 88 | 2019 |
A review of finger-vein biometrics identification approaches K Syazana-Itqan, AR Syafeeza, NM Saad, NA Hamid, W Saad Indian J. Sci. Technol 9 (32), 1-9, 2016 | 83 | 2016 |
Fully automated region growing segmentation of brain lesion in diffusion-weighted MRI M Saad, SAR Abu-Bakar, S Muda, M Mokji, AR Abdullah IAENG International journal of computer science 39 (2), 155-164, 2012 | 77* | 2012 |
Classification of EMG signal based on time domain and frequency domain features J Too, AR Abdullah, TNST Zawawi, NM Saad, H Musa International Journal of Human and Technology Interaction (IJHaTI) 1 (1), 25-30, 2017 | 57 | 2017 |
Hybrid binary particle swarm optimization differential evolution-based feature selection for EMG signals classification J Too, AR Abdullah, N Mohd Saad Axioms 8 (3), 79, 2019 | 53 | 2019 |
A detail study of wavelet families for EMG pattern recognition J Too, AR Abdullah, NM Saad, NM Ali, H Musa International Journal of Electrical and Computer Engineering (IJECE) 8 (6 …, 2018 | 43 | 2018 |
Feature selection based on binary tree growth algorithm for the classification of myoelectric signals J Too, AR Abdullah, N Mohd Saad, N Mohd Ali Machines 6 (4), 65, 2018 | 42 | 2018 |
Barcode recognition system NMZ Hashim, NA Ibrahim, NM Saad, F Sakaguchi, Z Zakaria International Journal of Emerging Trends & Technology in Computer Science …, 2013 | 40 | 2013 |
Detection of heart blocks in ECG signals by spectrum and time-frequency analysis NM Saad, AR Abdullah, YF Low 2006 4th Student Conference on Research and Development, 61-65, 2006 | 39 | 2006 |
Review of brain lesion detection and classification using neuroimaging analysis techniques NM Saad, SARSA Bakar, AS Muda, MM Mokji Jurnal Teknologi 74 (6), 2015 | 34 | 2015 |
Binary competitive swarm optimizer approaches for feature selection J Too, AR Abdullah, N Mohd Saad Computation 7 (2), 31, 2019 | 32 | 2019 |
Power quality analysis using spectrogram and gabor transformation AR Abdullah, AZ Sha'ameri, NM Saad 2007 Asia-Pacific Conference on Applied Electromagnetics, 1-5, 2007 | 29 | 2007 |
Automated segmentation of brain lesion based on diffusion-weighted MRI using a split and merge approach NM Saad, SAR Abu-Bakar, S Muda, M Mokji 2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES …, 2010 | 26 | 2010 |
Brain Lesion Segmentation using Fuzzy C-Means on Diffusion-Weighted Imaging AF Muda, NM Saad, SAR Abu-Bakar, S Muda, AR Abdullah ARPN Journal of Engineering and Applied Sciences 10 (3), 1138-1144, 2015 | 25 | 2015 |
A MATLAB-based convolutional neural network approach for face recognition system K Syazana-Itqan, AR Syafeeza, NM Saad J. Bioinf. Proteomics Rev 2 (1), 1-5, 2016 | 24 | 2016 |
Segmentation of brain lesions in diffusion-weighted MRI using thresholding technique NM Saad, SAR Abu-Bakar, S Muda, M Mokji 2011 IEEE International Conference on Signal and Image Processing …, 2011 | 23 | 2011 |