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Classification of partial seizures based on functional connectivity: A MEG study with support vector machine
期刊论文
FRONTIERS IN NEUROINFORMATICS, 2022, 卷号: 16, 页码: 14
作者:
Wang, Yingwei
;
Li, Zhongjie
;
Zhang, Yujin
;
Long, Yingming
;
Xie, Xinyan
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2022/12/07
temporal lobe epilepsy
resting-state functional connectivity
MEG
machine learning
classification
Improvement of the Classification Accuracy of Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces by Combining L1-MCCA with SVM
期刊论文
APPLIED SCIENCES-BASEL, 2021, 卷号: 11, 期号: 23, 页码: 13
作者:
Gao, Yuhang
;
Si, Juanning
;
Wu, Sijin
;
Li, Weixian
;
Liu, Hao
收藏
  |  
浏览/下载:235/0
  |  
提交时间:2022/02/16
steady-state visual evoked potential (SSVEP)
brain-computer interface (BCI)
l1-regularized multiway canonical correlation analysis (L1-MCCA)
support vector machine (SVM)
particle swarm optimization (PSO)
Abnormal Dynamic Functional Network Connectivity Estimated from Default Mode Network Predicts Symptom Severity in Major Depressive Disorder
期刊论文
BRAIN CONNECTIVITY, 2021, 卷号: 11, 期号: 10, 页码: 838-849
作者:
Sendi, Mohammad S. E.
;
Zendehrouh, Elaheh
;
Sui, Jing
;
Fu, Zening
;
Zhi, Dongmei
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2022/06/06
default mode network
dynamic functional network connectivity
machine learning
major depressive disorder
resting-state functional magnetic resonance imaging
An optimal block knowledge driven backtracking search algorithm for distributed assembly No-wait flow shop scheduling problem
期刊论文
Applied Soft Computing, 2021, 卷号: 112
作者:
Zhao, Fuqing
;
Zhao, Jinlong
;
Wang, Ling
;
Tang, Jianxin
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2022/02/17
Learning algorithms
Machine shop practice
Manufacture
Scheduling
Backtracking search algorithms
Effective algorithms
Flow shop scheduling problem
Mutation operations
Mutation strategy
No-wait flow-shop scheduling
Optimal solutions
State-of-the-art algorithms
Detecting Residual Awareness in Patients With Prolonged Disorders of Consciousness: An fNIRS Study
期刊论文
FRONTIERS IN NEUROLOGY, 2021, 卷号: 12, 页码: 10
作者:
Li, Meng
;
Yang, Yi
;
Zhang, Yujin
;
Gao, Yuhang
;
Jing, Rixing
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2021/11/02
disorders of consciousness
functional near-infrared spectroscopy
motor imagery
support vector machine
minimally consciousness state
An Effective Brain Imaging Biomarker for AD and aMCI: ALFF in Slow-5 Frequency Band
期刊论文
CURRENT ALZHEIMER RESEARCH, 2021, 卷号: 18
作者:
Wang, Luoyu
;
Feng, Qi
;
Wang, Mei
;
Zhu, Tingting
;
Yu, Enyan
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2021/08/30
Alzheimer's disease
amnestic mild cognitive impairment
resting-state functional magnetic resonance imaging
amplitude of low frequency fluctuation
slow-5 frequency band
support vector machine
Biotypes of major depressive disorder: Neuroimaging evidence from resting-state default mode network patterns
期刊论文
NeuroImage: Clinical, 2021, 卷号: 28
作者:
Liang, Sugai
;
Deng, Wei
;
Li, Xiaojing
;
Greenshaw, Andrew J.
;
Wang, Qiang
收藏
  |  
浏览/下载:43/0
  |  
提交时间:2021/11/18
Biotypes
Default mode network
Major depressive disorder
Resting-state fMRI
Machine learning
A new approach for fault diagnosis with full-scope simulator based on state information imaging in nuclear power plant
期刊论文
ANNALS OF NUCLEAR ENERGY, 2020, 卷号: 141
作者:
Yao, Yuantao
;
Wang, Jin
;
Xie, Min
;
Hu, Liqin
;
Wang, Jianye
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2020/11/26
NPP
Fault diagnosis
State information imaging
Machine learning
Kernel principal component analysis
F1 score
Classification of Unmedicated Bipolar Disorder Using Whole-Brain Functional Activity and Connectivity: A Radiomics Analysis
期刊论文
CEREBRAL CORTEX, 2020, 卷号: 30, 期号: 3, 页码: 1117-1128
作者:
Wang, Ying
;
Sun, Kai
;
Liu, Zhenyu
;
Chen, Guanmao
;
Jia, Yanbin
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2020/06/22
bipolar disorder
machine learning
radiomics
resting-state functional magnetic resonance imaging
Nuclear liquid-gas phase transition with machine learning
期刊论文
Physical Review Research, 2020, 卷号: 2, 期号: 4
作者:
Wang, Rui
;
Ma, Yu-Gang
;
Wada, R.
;
Chen, Lie-Wen
;
He, Wan-Bing
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2021/09/06
Learning systems
Gases
Heavy ions
Liquefied gases
Unsupervised learning
Curve method
Final state
Heavy
ion reactions
Limiting temperature
Liquid and gas phasis
Liquid
gas phase transition
Machine learning techniques
Supervised and unsupervised learning
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