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 | 114 | 2019 |
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 | 88 | 2018 |
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 | 53 | 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 | 28 | 2019 |
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 | 19 | 2013 |
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 | 10 | 2016 |
Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI N Khadijah, N Aznan, A Atapour-Abarghouei, S Bonner, JD Connolly, ... 25th International Conference on Pattern Recognition (ICPR2020), 2020 | 6* | 2020 |
Uncertainty quantification of spectral predictions using deep neural networks S Verma, NKN Aznan, K Garside, TJ Penfold Chemical Communications 59 (46), 7100-7103, 2023 | 5 | 2023 |
Towards the automated extraction of structural information from X-ray absorption spectra T David, NKN Aznan, K Garside, T Penfold Digital Discovery 2 (5), 1461-1470, 2023 | 2 | 2023 |
Generating Synthetic Images & Data to Improve Object Detection in CCTV Footage from Public Transport M Simpson, NKN Aznan, J Brennan, P Watson, P James, J Jonczyk 2022 IEEE 18th International Conference on e-Science (e-Science), 391-392, 2022 | 2 | 2022 |
On the Complexity of Object Detection on Real-world Public Transportation Images for Social Distancing Measurement NKN Aznan, J Brennan, D Bell, J Jonczyk, P Watson 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 2 | 2022 |
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 | 1 | 2015 |
On Tackling Fundamental Constraints in Brain-Computer Interface Decoding via Deep Neural Networks NIK NIK-AZNAN, B KHADIJAH Durham University, 2021 | | 2021 |
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 | | 2013 |