A5101584698- EEG and Brain-Computer Interfaces
- Neuroscience and Neural Engineering
- Network Security and Intrusion Detection
- Information and Cyber Security
- Gaze Tracking and Assistive Technology
- Advanced Malware Detection Techniques
- Muscle activation and electromyography studies
Northwestern Polytechnical University
2024
Australian Defence Force Academy
2017
UNSW Sydney
2017
Prior to deploying any intrusion detection system, it is essential obtain a realistic evaluation of its performance. However, the major problems currently faced by research community lack availability dataset and systematic metric for assessing quantified quality realism system dataset. It difficult access collect data from real-world enterprise networks due business continuity integrity issues. In response this, in this paper, firstly, using fuzzy logic based on Sugeno inference model...
This paper presents an innovative approach for the Feature Extraction method using Self-Attention, incorporating various Selection techniques known as AtSiftNet to enhance classification performance of motor imaginary activities electrophotography (EEG) signals. Initially, EEG signals were sorted and then denoised multiscale principal component analysis obtain clean However, we also conducted a non-denoised experiment. Subsequently, underwent Self-Attention feature extraction compute...