A5101730519- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Mental Health Research Topics
- Pneumocystis jirovecii pneumonia detection and treatment
- Metaheuristic Optimization Algorithms Research
- Advanced Algorithms and Applications
- Simulation Techniques and Applications
- Spinal Cord Injury Research
- Advanced Malware Detection Techniques
- Blind Source Separation Techniques
- Cloud Computing and Resource Management
- Pregnancy and Medication Impact
- Fungal Biology and Applications
- Network Security and Intrusion Detection
- Psychological Well-being and Life Satisfaction
- Intracerebral and Subarachnoid Hemorrhage Research
- Brain Tumor Detection and Classification
- Aquaculture disease management and microbiota
- Antibiotic Use and Resistance
- Evolutionary Algorithms and Applications
- Heart Rate Variability and Autonomic Control
- Transcranial Magnetic Stimulation Studies
- Cytomegalovirus and herpesvirus research
- Bacteriophages and microbial interactions
University of Hong Kong
2019-2022
Shenzhen University Health Science Center
2020-2022
Shenzhen University
2021
Yunnan University
2021
Second Military Medical University
2009
China University of Geosciences
2008
Previous studies have noted that personality traits are important predictors of well-being, but how big five influences social well-being is still unknown. This study aims to examine the link between and dimensions in Chinese cultural context whether support can play mediating effect process. included 1,658 participants from different communities China, regression analyses were conducted. Results revealed significantly related overall well-being; extraversion was integration; agreeableness...
Electroencephalography (EEG) is widely used for mental stress classification, but effective feature extraction and transfer across subjects remain challenging due to its variability. In this paper, a novel deep neural network combining convolutional (CNN) adversarial theory, named symmetric (SDCAN), proposed classification based on EEG. The inference introduced automatically capture invariant discriminative features from raw EEG, which aims improve the accuracy generalization ability...
Intracerebral hemorrhage (ICH) is associated with high morbidity and mortality rates. However, extant investigations have mainly focused on gray matter injury within the primary site after ICH rather than white (WM) in brain spinal cord. This focus partly accounts for diminished therapeutic discovery. Recent evidence suggests that chondroitin sulphate proteoglycans (CSPG), which can bind to neural transmembrane protein tyrosine phosphatase-sigma (PTPσ), may facilitate axonal regrowth...
This paper proposes a novel adaptive fading Kalman filter (AF-KF)-based approach to time-varying brain spectral and functional connectivity analyses of event-related multi-channel electroencephalogram (EEG) signals. By modeling the EEG signals as (TV) multivariate autoregressive (MVAR) process, new AF-KF with variable number measurements (AF-KF-VNM) is proposed for estimating spectra identifying their connectivity. The AF-KF-VNM algorithm uses method adaptively update model parameters KF...
Based on my country's current cyberspace security situation and defense requirements, this article analyzes the shortcomings of traditional cybersecurity systems advantages applying big data technology for network analysis, basis, proposes a collection data, A situational awareness platform that integrates processing, risk discovery, monitoring, alarming, pre-judgment. Experimental results show accuracy rate evaluation is up to 96%, users can use driven by ensure safety users' personal information.
At present, in the analysis task of hundreds video streams, general processing method is to pull streams data center and apply a graphics unit (GPU) cluster for centralized processing. However, cost power consumption establishing GPU clusters are relatively high, not good at large quantities streams. For above scenarios, this paper proposed an edge real-time system based on distributed Artificial Intelligence (AI) cluster. A software platform Advanced RISC Machine (ARM) Akka technology was...
This paper proposes a new recursive algorithm for estimating multichannel autoregressive (AR) processes in spatially correlated noise using joint extended instrumental variable (EIV) and bias compensation (BC). A weighted least squares solution (WLS) solving the Yule-Walker (YW) equations from EIV BC is proposed, while covariance parameters estimated via method. splitting approach proposed this WLS problem based on matrix splitting, it further to algorithm, which can be solved forgetting...