Zhijiang Wan
Orcid: 0000-0003-2918-052X
According to our database1,
Zhijiang Wan
authored at least 17 papers
between 2013 and 2024.
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Bibliography
2024
IEEE J. Biomed. Health Informatics, February, 2024
2022
Web Intell., 2022
2020
HybridEEGNet: A Convolutional Neural Network for EEG Feature Learning and Depression Discrimination.
IEEE Access, 2020
2019
FMST: an Automatic Neuron Tracing Method Based on Fast Marching and Minimum Spanning Tree.
Neuroinformatics, 2019
Single-Channel EEG-Based Machine Learning Method for Prescreening Major Depressive Disorder.
Int. J. Inf. Technol. Decis. Mak., 2019
2018
WaaS architecture-driven depressive mood status quantitative analysis based on forehead EEG and self-rating tool.
Brain Informatics, 2018
2017
M-AMST: an automatic 3D neuron tracing method based on mean shift and adapted minimum spanning tree.
BMC Bioinform., 2017
A depressive mood status quantitative reasoning method based on portable EEG and self-rating scale.
Proceedings of the International Conference on Web Intelligence, 2017
A Quantitative Analysis Method for Objectively Assessing the Depression Mood Status Based on Portable EEG and Self-rating Scale.
Proceedings of the Brain Informatics - International Conference, 2017
Speaker Verification Method Based on Two-Layer GMM-UBM Model in the Complex Environment.
Proceedings of the Brain Informatics - International Conference, 2017
2016
Proceedings of the Brain Informatics and Health - International Conference, 2016
Proceedings of the Brain Informatics and Health - International Conference, 2016
Proceedings of the Wisdom Web of Things, 2016
2015
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015
2014
A noninvasive real-time driving fatigue detection technology based on left prefrontal Attention and Meditation EEG.
Proceedings of the International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, 2014
2013
An Attention Level Monitoring and Alarming System for the Driver Fatigue in the Pervasive Environment.
Proceedings of the Brain and Health Informatics - International Conference, 2013