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Z. Mahmoodin

Observed names: Mahmoodin, Zulkifli, Z Mahmoodin, Zulkifli Bin Mahmoodin, Zulkifli Mahmoodin
ORCID: 0000-0003-4749-280X
Observed ORCID: 0000-0003-4749-280X
OpenAlex ID: A5069064483
Optimized KNN classify rule for EEG based differentiation between capable dyslexic and normal children
2016 · A. Z. A. Zainuddin, Khuan Y Lee, et al. · IEEE-EMBS Conference on Biomedical Engineering and Sciences · 28
Performance of Support Vector Machine in Classifying EEG Signal of Dyslexic Children using RBF Kernel
2018 · AZA Zainuddin, W. Mansor, et al. · Indonesian Journal of Electrical Engineering and Computer Science · 23
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An analysis of EEG signal power spectrum density generated during writing in children with dyslexia
2015 · Z. Mahmoodin, W. Mansor, et al. · IEEE International Colloquium on Signal Processing & Its Applications (CSPA) · 20
Comparison of Extreme Learning Machine and K-Nearest Neighbour Performance in Classifying EEG Signal of Normal, Poor and Capable Dyslexic Children
2019 · A. Z.A. Zainuddin, W. Mansor, et al. · 17
Classification of EEG Signal from Capable Dyslexic and Normal Children Using KNN
2018 · Ahmad Zuber Ahmad Zainuddin, Wahidah Mansor, et al. · Advanced Science Letters · 17
Machine learning and deep learning performance in classifying dyslexic children’s electroencephalogram during writing
2022 · Ahmad Zuber Ahmad Zainuddin, Wahidah Mansor, et al. · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · 13
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Noninvasive blood pressure (NIBP) measurement by oscillometric principle
2011 · Rosmina Jaafar, Hisham Mohamad Desa, et al. · International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering · 13
Welch power spectral density of EEG signal generated from dyslexic children
2014 · C. W. N. F. Che Wan Fadzal, W. Mansor, et al. · IEEE Region 10 Symposium (TENSYMP) · 11
Support Vector Machine with Theta-Beta Band Power Features Generated from Writing of Dyslexic Children
2019 · Computational Intelligence Detection RIG, Pharmaceutical Life Sciences CORE, Universiti Teknologi MARA, Selangor, Shah Alam, 40450, MALAYSIA, Zulkifli Mahmoodin, et al. · International Journal of Integrated Engineering · 9
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Extreme Learning Machine for Distinction of EEG Signal Pattern of Dyslexic Children in Writing
2018 · A. Z. A Zainuddin, Khuan Y. Lee, et al. · IEEE-EMBS Conference on Biomedical Engineering and Sciences · 9
Selection of Symlets wavelet function order for EEG signal feature extraction in children with dyslexia
2015 · Z. Mahmoodin, N. S. Jalalludin, et al. · 9
Electroencephalogram electrode localization in the support vector machine classification of dyslexic children
2016 · Z. Mahmoodin, W. Mansor, et al. · IEEE-EMBS Conference on Biomedical Engineering and Sciences · 8
Performance Comparison of a 3-D Printed Fiber Bragg Grating (FBG) Load Cell Sensor Based on the Influence of Different Infill Density and Pattern
2024 · M. A. Alias, H. Ahmad, et al. · IEEE Sensors Journal · 6
EEG average FFT index for dyslexic children with writing disorder
2015 · S.N. Farihah, Khuan Y. Lee, et al. · 6
Dyslexic Frequency Signatures in Relaxation and Letter Writing
2020 · N. B. Mohamad, Khuan Y. Lee, et al. · Lecture notes in computer science · 5
EEG-based time and spatial interpretation of activation areas for relaxation and words writing between poor and capable dyslexic children
2015 · N. B. Mohamad, Khuan Y. Lee, et al. · 5
Spectral analysis based brain imaging of normal, poor dyslexic, and capable dyslexic children in reading, writing and spelling task
2014 · N.B. Mohamad, Khuan Y. Lee, et al. · IEEE-EMBS Conference on Biomedical Engineering and Sciences · 5
Processing of electroencephalogram signals using OpenVibe
2014 · Z. Mahmoodin, W. Mansor, et al. · IEEE Region 10 Symposium (TENSYMP) · 5
Performance of Extreme Learning Machine Kernels in Classifying EEG Signal Pattern of Dyslexic Children in Writing
2019 · Computational Intelligence Detection RIG, Pharmaceutical Life Sciences CORE, Universiti Teknologi MARA, Shah Alam, 40450, MALAYSIA, A. Z. Ahmad Zainuddin, et al. · International Journal of Integrated Engineering · 4
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Electroencephalogram Theta-Beta Band Power Features Generated from Writing for the Classification of Dyslexic Chidren
2018 · Z. Mahmoodin, W. Mansor, et al. · IEEE-EMBS Conference on Biomedical Engineering and Sciences · 4
Comparison Between Support Vector Machine with Polynomial and RBF Kernels Performance in Recognizing EEG Signals of Dyslexic Children
2018 · A. Z. Ahmad Zainuddin, W. Mansor, et al. · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · 4
Feature Extraction of Electroencephalogram Signal Generated From Writing in Dyslexic Children Using Daubechies Wavelet Transform
2016 · Zulkifli Mahmoodin, Wahidah Mansor, et al. · Jurnal Teknologi · 4
Band power comparative study of normal, poor dyslexic and capable dyslexic children in writing
2014 · Z. Mahmoodin, W. Mansor, et al. · IEEE-EMBS Conference on Biomedical Engineering and Sciences · 4
Normal and dyslexic children: EEG topography versus fMRI brain images during letters writing
2016 · N. B. Mohamad, Khuan Y. Lee, et al. · IEEE-EMBS Conference on Biomedical Engineering and Sciences · 3
Performance of mode-locked pulses in thulium-holmium-doped fiber lasers induced by paraffin-layered TiO2–Nb2CTx composite
2025 · H. Ahmad, N. A. M. Rusni, et al. · Journal of Materials Science Materials in Electronics · 2
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Works count: 53
Citation count: 238
H-index: 9
I10-index: 8
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