Nik Khadijah Nik Aznan
Cited by
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On the classification of SSVEP-based dry-EEG signals via convolutional neural networks
NKN Aznan, S Bonner, J Connolly, N Al Moubayed, T Breckon
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018
Applying Kalman filter in EEG-based brain computer interface for motor imagery classification
NKN Aznan, YM Yang
2013 International Conference on ICT Convergence (ICTC), 688-690, 2013
Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification
NKN Aznan, A Atapour-Abarghouei, S Bonner, J Connolly, NA Moubayed, ...
arXiv preprint arXiv:1901.07429, 2019
EEG-based motor imagery classification in BCI system by using unscented Kalman filter
NKN Aznan, KM Huh, YM Yang
International Journal of Information and Communication Technology 9 (4), 492-508, 2016
On the relative contribution of deep convolutional neural networks for SSVEP-based bio-signal decoding in BCI speller applications
JJ Podmore, TP Breckon, NKN Aznan, JD Connolly
IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (4 …, 2019
Using variable natural environment brain-computer interface stimuli for real-time humanoid robot navigation
NKN Aznan, JD Connolly, N Al Moubayed, TP Breckon
2019 International Conference on Robotics and Automation (ICRA), 4889-4895, 2019
Development of Home Automation System by Using ZigbeX and Atmega128 for Wireless Sensor Networks
NKN Aznan, YM Yang
Recent Development in Wireless Sensor and Ad-hoc Networks, 45-54, 2015
Development of Home Automation System by using ZigbeX and Atmega128
NKN Aznan, W Jang, G Kim, J Cho, YM Yang
한국지능시스템학회 학술발표 논문집 23 (1), 50-51, 2013
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