Pareto optimality concept for incorporating prior knowledge for system identification problem with insufficient samples by Shapiai, M. I., Ibrahim, Z., Adam, A.

Transfer learning of bci using cur algorithm by Fauzi, H., Shapiai, M. I., Khairuddin, U.

Incorporating prior knowledge in solving system identification problem with insufficient samples based on pareto optimality concept by Shapiai, M. I., Ibrahim, Z., Adam, A., Mokhtar, N.

Evaluation of different peak models of eye blink EEG for signal peak detection using artificial neural network by Adam, A., Ibrahim, Z., Mokhtar, N., Shapiai, M.I., Mubin, M.

Evaluation of different peak models of eye blink EEG for signal peak detection using artificial neural network by Adam, A., Ibrahim, Z., Mokhtar, N., Shapiai, M. I., Mubin, M.

Blade fault diagnosis using artificial neural network by Ngui, W. K., Leong, M. S., Shapiai, M. I., Lim, M. H.

The implementation of EEG transfer learning method using integrated selection for motor imagery signal by Ramadhani, A., Fauzi, H., Wijayanto, I., Rizal, A., Shapiai, M. I.

Feature selection using angle modulated simulated Kalman filter for peak classification of EEG signals by Adam, A., Ibrahim, Z., Mokhtar, N., Shapiai, M.I., Mubin, M., Saad, I.

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Evaluation of different time domain peak models using extreme learning machine-based peak detection for EEG signal by Adam, A., Ibrahim, Z., Mokhtar, N., Shapiai, M.I., Cumming, P., Mubin, M.

Feature selection using angle modulated simulated Kalman filter for peak classification of EEG signals by Adam, A., Ibrahim, Z., Mokhtar, N., Shapiai, M. I., Mubin, M., Saad, I.

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Evaluation of different time domain peak models using extreme learning machine-based peak detection for EEG signal by Adam, A., Ibrahim, Z., Mokhtar, N., Shapiai, M. I., Cumming, P., Mubin, M.

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Improving EEG signal peak detection using feature weight learning of a neural network with random weights for eye event-related applications by Adam, A., Ibrahim, Z., Mokhtar, N., Shapiai, M. I., Cumming, P., Mubin, M.

Vascular dementia classification based on hilbert huang transform as feature extractor by Wan Musa, W. N. S., Shapiai, M. I., Fauzi, H., Abdul Aziz, A. F.

Recipe generation from small samples: incorporating an improved weighted kernel regression with correlation factor by Shapiai, M. I., Ibrahim, Z., Khalid, M., Jau, L. W., Ong, S. C., Pavlovich, V.

Fully convolutional neural network for Malaysian road lane detection by Zakaria, N. J., Zamzuri, H., Ariff, M. H., Shapiai, M. I., Saruchi, S. A., Hassan, N.

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A systematic review of deep learning for silicon wafer defect recognition by Batool, U., Shapiai, M. I., Tahir, M., Ismail, Z. H., Zakaria, N. J., Elfakharany, A.

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Essential semiconductor films in micro-/nano-biosensors: current scenarios by Gopinath, S. C. B., Ramanathan, S., Yasin, M. Y. M., Shapiai, M. I., Ismail, Z. H., Subramaniam, S.

A machine learning approach to estimate magnetorheological suspension composition based on magnetic field dependent-rheological properties by Bahiuddin, I., Imaduddin, F., Mazlan, S. A., Shapiai, M. I., Ubaidillah, U., Nazmi, N., Mohamad, N.

Analysis of vector evaluated particle swarm optimization guided by non-dominated solutions: Inertia weight, cognitive, and social constants by Lim, K. S., Ibrahim, Z., Buyamin, S., Ahmad, A., Shapiai, M. I., Khalil, K., Nawawi, S. W., Arshad, N. W., Naim, F.

Comparing the linear and logarithm normalized extreme learning machine in flow curve modeling of magnetorheological fluid by Bahiuddin, I., Fatah, A. Y. A., Mazlan, S. A., Shapiai, M. I., Imaduddin, F., Ubaidillah, Ubaidillah, Utami, D., Muhtazaruddin, M. N.

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