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Nik Khadijah Nik Aznan
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2020 – today
- 2022
- [c7]Mike Simpson, Nik Khadijah Nik Aznan, John Brennan, Paul Watson, Philip James, Jennine Jonczyk:
Generating Synthetic Images & Data to Improve Object Detection in CCTV Footage from Public Transport. e-Science 2022: 391-392 - [c6]Nik Khadijah Nik Aznan, John Brennan, Daniel Bell, Jennine Jonczyk, Paul Watson:
On the Complexity of Object Detection on Real-world Public Transportation Images for Social Distancing Measurement. IJCNN 2022: 1-8 - [i3]Nik Khadijah Nik Aznan, John Brennan, Daniel Bell, Jennine Jonczyk, Paul Watson:
On the Complexity of Object Detection on Real-world Public Transportation Images for Social Distancing Measurement. CoRR abs/2202.06639 (2022) - 2021
- [b1]Nik Khadijah Nik Aznan:
On tackling fundamental constraints in Brain-Computer Interface decoding via Deep Neural Networks. Durham University, UK, 2021 - 2020
- [c5]Nik Khadijah Nik Aznan, Amir Atapour Abarghouei, Stephen Bonner, Jason D. Connolly, Toby P. Breckon
:
Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI. ICPR 2020: 10418-10425
2010 – 2019
- 2019
- [c4]Nik Khadijah Nik Aznan, Jason D. Connolly, Noura Al Moubayed
, Toby P. Breckon
:
Using Variable Natural Environment Brain-Computer Interface Stimuli for Real-time Humanoid Robot Navigation. ICRA 2019: 4889-4895 - [c3]Nik Khadijah Nik Aznan, Amir Atapour Abarghouei
, Stephen Bonner, Jason D. Connolly, Noura Al Moubayed
, Toby P. Breckon
:
Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification. IJCNN 2019: 1-8 - 2018
- [c2]Nik Khadijah Nik Aznan, Stephen Bonner, Jason D. Connolly, Noura Al Moubayed
, Toby P. Breckon
:
On the Classification of SSVEP-Based Dry-EEG Signals via Convolutional Neural Networks. SMC 2018: 3726-3731 - [i2]Nik Khadijah Nik Aznan, Stephen Bonner, Jason D. Connolly, Noura Al Moubayed, Toby P. Breckon:
On the Classification of SSVEP-Based Dry-EEG Signals via Convolutional Neural Networks. CoRR abs/1805.04157 (2018) - [i1]Nik Khadijah Nik Aznan, Jason D. Connolly, Noura Al Moubayed, Toby P. Breckon:
Using Variable Natural Environment Brain-Computer Interface Stimuli for Real-time Humanoid Robot Navigation. CoRR abs/1811.10280 (2018) - 2016
- [j1]Nik Khadijah Nik Aznan, Kyung-Moo Huh, Yeon-Mo Yang:
EEG-based motor imagery classification in BCI system by using unscented Kalman filter. Int. J. Inf. Commun. Technol. 9(4): 492-508 (2016) - 2013
- [c1]Nik Khadijah Nik Aznan, Yeon-Mo Yang
:
Applying Kalman filter in EEG-Based Brain Computer Interface for Motor Imagery classification. ICTC 2013: 688-690
Coauthor Index
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