About
Contact & Profiles
A5006530010
Research Areas
- Anomaly Detection Techniques and Applications
- Fault Detection and Control Systems
- Smart Grid Security and Resilience
- Machine Learning and ELM
- Artificial Immune Systems Applications
- Machine Fault Diagnosis Techniques
- Time Series Analysis and Forecasting
- Advanced Memory and Neural Computing
- Occupational Health and Safety Research
- Network Security and Intrusion Detection
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
Nanjing University of Aeronautics and Astronautics
2021-2024
10.1016/j.measurement.2022.110791
article
EN
Measurement
2022-01-26
10.1007/s10489-024-05395-0
article
EN
Applied Intelligence
2024-03-01
10.1016/j.measurement.2021.110628
article
EN
Measurement
2021-12-21
As an essential tool in clinical medicine, brain research, and the study of neurological diseases, electroencephalogram (EEG) is susceptible to various physiological signals, posing difficulties for subsequent research analysis. Deep learning (DL), end-to-end method without expert knowledge, gaining attention field EEG artifact removal. However, existing DL methods cannot globally observe latent relationship signals. They lack capacity effectively explore feature patterns resulting...
10.1109/tim.2023.3341114
article
EN
IEEE Transactions on Instrumentation and Measurement
2023-12-08
10.1007/s12652-022-04493-6
article
EN
Journal of Ambient Intelligence and Humanized Computing
2022-12-19
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