norhashimah mohd saad
norhashimah mohd saad
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Cited by
Cited by
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
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
A new quadratic binary harris hawk optimization for feature selection
J Too, AR Abdullah, N Mohd Saad
Electronics 8 (10), 1130, 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
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
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
Classification of hand movements based on discrete wavelet transform and enhanced feature extraction
J Too, AR Abdullah, NM Saad
Int. J. Adv. Comput. Sci. Appl 10 (6), 83-89, 2019
Barcode recognition system
NMZ Hashim, NA Ibrahim, NM Saad, F Sakaguchi, Z Zakaria
International Journal of Emerging Trends & Technology in Computer Science …, 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
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
Review of brain lesion detection and classification using neuroimaging analysis techniques
NM Saad, SARSA Bakar, AS Muda, MM Mokji
Jurnal Teknologi 74 (6), 2015
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
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
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
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
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
Brain Lesion segmentation from diffusion weighted MRI based on adaptive thresholding and gray level co-occurrence matrix
N Mohd Saad, SAR Abu Bakar, AR Abdullah, L Salahuddin, S Muda, ...
Journal of Telecommunication, Electronic and Computer Engineering (JTEC) 3 …, 2011
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
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
A review of electromyography signal analysis techniques for musculoskeletal disorders
T Zawawi, AR Abdullah, MH Jopri, T Sutikno, NM Saad, R Sudirman
Indonesian Journal of Electrical Engineering and Computer Science 11 (3 …, 2018
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