-

检索结果分析

署名顺序

ESI高水平论文

结果分析中...

成果/Result

已选条件:
  • 收录类型=SCI-EXPANDED x
  • 人物=王蓓 x

29 条 记 录,以下是 1-29

视图:
排序方式:
共1页<< <1> >>每页显示条目数:
Multi-kernel extreme learning machine for eeG classification in brain-computer interfaces被引量:200收藏 分享
作者:Zhang, Yu Wang, Yu Zhou, Guoxu Jin, Jing Wang, Bei Wang, Xingyu Cichocki, Andrzej
机构:East China Univ Sci & Technol;Shanghai Ruanzhong Informat Technol Co Ltd;Guangdong Univ Technol;RIKEN;Skolkovo Inst Sci & Technol SKOLTECH
来源:EXPERT SYSTEMS WITH APPLICATIONS  2018
关键词:Brain-computer interface   Electroencephalogram   Extreme learning machine   Multi-kernel learning   Motor imagery  
A Novel Multilayer Correlation Maximization Model for Improving CCA-Based Frequency Recognition in SSVEP Brain-Computer Interface被引量:78收藏 分享
作者:Jiao, Yong Zhang, Yu Wang, Yu Wang, Bei Jin, Jing Wang, Xingyu
机构:East China Univ Sci & Technol;Shanghai Ruanzhong Informat Technol Co Ltd
来源:INTERNATIONAL JOURNAL OF NEURAL SYSTEMS  2018
关键词:Brain-computer interface (BCI)   electroencephalogram (eeG)   steady-state visual evoked potential (SSVEP)   canonical correlation analysis (CCA)   multilayer correlation maximization (MCM)  
LASSO based stimulus frequency recognition model for SSVEP BCIs被引量:77收藏 分享
作者:Zhang, Yu Jin, Jing Qing, Xiangyun Wang, Bei Wang, Xingyu
机构:E China Univ Sci & Technol
来源:BIOMEDICAL SIGNAL PROCESSING AND CONTROL  2012
关键词:Brain-computer interfaces (BCIs)   Electroencephalogram (eeG)   Least absolute shrinkage and selection operator (LASSO)   Steady-state visual evoked potential (SSVEP)   Time window (TW)  
Data-Driven Mode Identification and Unsupervised Fault Detection for Nonlinear Multimode Processes被引量:70收藏 分享
作者:Wang, Bei Li, Zhichao Dai, Zhenwen Lawrence, Neil Yan, Xuefeng
机构:East China Univ Sci & Technol;Shanghai Elect Windpower Grp;Univ Sheffield
来源:IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS  2020
关键词:Monitoring   Hidden Markov models   Data models   Biological system modeling   Fault detection   Adaptation models   Indexes   Data-driven process monitoring   Dirichlet process Gaussian mixed model (DPGMM)   fault detection   multimode systems   nonlinear dimensionality reduction  
P300 Chinese input system based on Bayesian LDA被引量:45收藏 分享
作者:Jin, Jing Allison, Brendan Z. Brunner, Clemens Wang, Bei Wang, Xingyu Zhang, Jianhua Neuper, Christa Pfurtscheller, Gert
机构:Graz Univ Technol;E China Univ Sci & Technol;Graz Univ
来源:BIOMEDIZINISCHE TECHNIK  2010
关键词:Bayesian linear discriminant analysis   brain-computer interface   Chinese character input system   P300   particle swarm optimization  
Multiblock Independent Component Analysis Integrated with Hellinger Distance and Bayesian Inference for Non-Gaussian Plant-Wide Process Monitoring被引量:41收藏 分享
作者:Jiang, Qingchao Wang, Bei Yan, Xuefeng
机构:E China Univ Sci & Technol
来源:INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH  2015
关键词:Bayesian networks - Inference engines - Process control - Process monitoring - Probability distributions  
A probabilistic principal component analysis-based approach in process monitoring and fault diagnosis with application in wastewater treatment plant被引量:38收藏 分享
作者:Wang, Bei Li, Zhichao Dai, Zhenwen Lawrence, Neil Yan, Xuefeng
机构:East China Univ Sci & Technol;Shanghai Elect Windpower Grp;Univ Sheffield
来源:APPLIED SOFT COMPUTING  2019
关键词:Principle component analysis   Gaussian process   Probabilistic model   Process monitoring   Fault detection  
Drowsiness Detection by Bayesian-Copula Discriminant Classifier Based on eeG Signals During Daytime Short Nap被引量:35收藏 分享
作者:Qian, Dong Wang, Bei Qing, Xiangyun Zhang, Tao Zhang, Yu Wang, Xingyu Nakamura, Masatoshi
机构:East China Univ Sci & Technol;Tsinghua Univ;Saga Univ
来源:IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING  2017
关键词:Bayesian-copula discriminant classifier (BCDC)   daytime short nap   drowsiness detection   electroencephalogram (eeG)   kernel density estimation (KDE)  
Generalized Dice's coefficient-based multi-block principal component analysis with Bayesian inference for plant-wide process monitoring被引量:30收藏 分享
作者:Wang, Bei Yan, Xuefeng Jiang, Qingchao Lv, Zhaomin
机构:E China Univ Sci & Technol
来源:JOURNAL OF CHEMOMETRICS  2015
关键词:multi-block PCA   loading matrix   generalized Dice's coefficient   Bayesian inference   plant-wide process monitoring  
Fault detection and identification using a Kullback-Leibler divergence based multi-block principal component analysis and bayesian inference被引量:27收藏 分享
作者:Wang, Bei Jiang, Qingchao Yan, Xuefeng
机构:E China Univ Sci & Technol
来源:KOREAN JOURNAL OF CHEMICAL ENGINEERING  2014
关键词:Multi-block PCA   Kullback-Leibler Divergence   Bayesian Inference   Plant-wide Process Monitoring  
A Comparison Study on Multidomain eeG Features for Sleep Stage Classification被引量:23收藏 分享
作者:Zhang, Yu Wang, Bei Jing, Jin Zhang, Jian Zou, Junzhong Nakamura, Masatoshi
机构:East China Univ Sci & Technol;East China Univ Sci & Technol;Inst Adv Res & Educ
来源:COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE  2017
关键词:Time domain analysis - Sleep research - Nonlinear analysis - Biomedical signal processing - Feature extraction - Patient treatment - Extraction - Frequency domain analysis  
Independent component analysis model utilizing de-mixing information for improved non-Gaussian process monitoring被引量:21收藏 分享
作者:Wang, Bei Yan, Xuefeng Jiang, Qingchao
机构:E China Univ Sci & Technol
来源:COMPUTERS & INDUSTRIAL ENGINEERING  2016
关键词:Multi-block strategy   Independent component analysis   De-mixing matrix   Generalized Dice's coefficient  
A Developed LSTM-Ladder-Network-Based Model for Sleep Stage Classification被引量:21收藏 分享
作者:Li, Ruichen Wang, Bei Zhang, Tao Sugi, Takenao
机构:East China Univ Sci & Technol;Tsinghua Univ;Saga Univ
来源:IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING  2023
关键词:Sleep   Electroencephalography   Feature extraction   Brain modeling   Recording   Data models   Electrooculography   Sleep stage   eeG   long short-term memory network   ladder network   transductive learning  
Multi-subspace factor analysis integrated with support vector data description for multimode process monitoring被引量:16收藏 分享
作者:Wang, Bei Li, Zhichao Yan, Xuefeng
机构:East China Univ Sci & Technol;Shanghai Elect Windpower Grp
来源:JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS  2018
关键词:Chemical industry - Data description - Process monitoring - Numerical methods - Vectors - Chemical analysis - Correlation methods - Factor analysis - Multivariant analysis  
Meal Assistance System Operated by Electromyogram (EMG) Signals: Movement Onset Detection with Adaptive Threshold被引量:14收藏 分享
作者:Zhang, Xiu Wang, Xingyu Wang, Bei Sugi, Takenao Nakamura, Masatoshi
机构:E China Univ Sci & Technol;Saga Univ;Saga Univ
来源:INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS  2010
关键词:Adaptive threshold   electromyogram   EMG power   meal assistance system   onset detection  
Coefficient-of-variation-based channel selection with a new testing framework for MI-based BCI被引量:11收藏 分享
作者:Xiao, Ruocheng Huang, Yitao Xu, Ren Wang, Bei Wang, Xingyu Jin, Jing
机构:East China Univ Sci & Technol;Guger Technol OG
来源:COGNITIVE NEURODYNAMICS  2022
关键词:Brain-computer interface (BCI)   Electroencephalogram (eeG)   Motor imagery (MI)   Channel selection   Coefficient of variation (C   V   )  
Loading-Based Principal Component Selection for PCA Integrated with Support Vector Data Description被引量:10收藏 分享
作者:Wang, Bei Yan, Xuefeng Jiang, Qingchao
机构:E China Univ Sci & Technol
来源:INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH  2015
关键词:Data description - Numerical methods - Vectors  
Bayesian Nonnegative CP Decomposition-Based Feature Extraction Algorithm for Drowsiness Detection被引量:9收藏 分享
作者:Qian, Dong Wang, Bei Qing, Xiangyun Zhang, Tao Zhang, Yu Wang, Xingyu Nakamura, Masatoshi
机构:East China Univ Sci & Technol;Tsinghua Univ;Saga Univ
来源:IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING  2017
关键词:Automatic rank determination   Bayesian nonnegative CP decomposition (BNCPD)   daytime short nap   drowsiness detection   variational inference  
Bayesian classifier with multivariate distribution based on D-vine copula model for awake/drowsiness interpretation during power nap被引量:9收藏 分享
作者:Wang, Bei Sun, Yudong Zhang, Tao Sugi, Takenao Wang, Xingyu
机构:East China Univ Sci & Technol;Tsinghua Univ;Saga Univ
来源:BIOMEDICAL SIGNAL PROCESSING AND CONTROL  2020
关键词:Bayesian classifier   Multivariate distribution   D-vine copula   Drowsiness   Power nap  
A new quantitative evaluation method of spiral drawing for patients with Parkinson's disease based on a polar coordinate system with varying origin被引量:7收藏 分享
作者:Wang, Min Wang, Bei Zou, Junzhong Nakamura, Masatoshi
机构:ECUST;Saga Univ
来源:PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS  2012
关键词:Patients with Parkinson's disease   Hand movement in spiral drawing experiment   Polar coordinate system with varying origin   Deep brain stimulation   Feature extraction   Quantitative evaluation  
Effect of a combination of flip and zooming stimuli on the performance of a visual brain-computer interface for spelling被引量:6收藏 分享
作者:Cheng, Jiao Jin, Jing Daly, Ian Zhang, Yu Wang, Bei Wang, Xingyu Cichocki, Andrzej
机构:East China Univ Sci & Technol;Stanford Univ;Univ Essex;RIKEN;Skolkovo Inst Sci & Technol
来源:BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK  2019
关键词:brain-computer interface (BCI) systems   combined paradigm   flip stimulus   zooming action  
Automatic reference selection for quantitative eeG interpretation: Identification of diffuse/localised activity and the active earlobe reference, iterative detection of the distribution of eeG rhythms被引量:5收藏 分享
作者:Wang, Bei Wang, Xingyu Ikeda, Akio Nagamine, Takashi Shibasaki, Hiroshi Nakamura, Masatoshi
机构:E China Univ Sci & Technol;Kyoto Univ;Sapporo Med Univ;Takeda Gen Hosp;Saga Univ
来源:MEDICAL ENGINEERING & PHYSICS  2014
关键词:Automatic reference selection   Averaged reference   Quantitative eeG interpretation   Digital recording technique  
acquisition technology research of eeG and related physiological signals under +Gz acceleration被引量:4收藏 分享
作者:Li, Y. Zhang, T. Deng, L. Wang, B.
机构:Tsinghua Univ;Air Force Inst Aeromed;State Key Lab Digital Mfg Equipment & Technol Chi;E China Univ Sci & Technol
来源:IRISH JOURNAL OF MEDICAL SCIENCE  2014
关键词:+Gz   eeG   ECG   Ambulatory blood pressure   Ear pulse   acquisition technology  
Real-time monitoring of chemical processes based on variation information of principal component analysis model被引量:4收藏 分享
作者:Wang, Bei Yan, Xuefeng
机构:East China Univ Sci & Technol
来源:JOURNAL OF INTELLIGENT MANUFACTURING  2019
关键词:Principal component analysis   Combined moving window   Fault detection   Process monitoring  
An Improved Canonical Correlation Analysis for eeG Inter-Band Correlation Extraction被引量:3收藏 分享
作者:Wang, Zishan Huang, Ruqiang Yan, Ye Luo, Zhiguo Zhao, Shaokai Wang, Bei Jin, Jing Xie, Liang Yin, Erwei
机构:East China Univ Sci & Technol;Acad Mil Sci AMS;Tianjin Artificial Intelligence Innovat Ctr TAIIC
来源:BIOENGINEERING-BASEL  2023
关键词:eeG   IBC   CCA   DE   decision-level fusion  
Research of eeG change feature under plus Gz acceleration被引量:2收藏 分享
作者:Li, Yi-Feng Yang, Ji-Jiang Zhang, Li-Hui Zhang, Tao Deng, Lue Wang, Bei
机构:Air Force Inst Aeromed;Key Lab Adv Control & Optimizat Chem Proc;Tsinghua Univ;Tsinghua Univ;E China Univ Sci & Technol
来源:COMPUTERS IN INDUSTRY  2015
关键词:eeG   +Gz acceleration   Feature extraction   Ear pulse   Periodogram parameters  
Fault Detection in Non-Gaussian Processes Based on Mutual Information Weighted Independent Component Analysis被引量:2收藏 分享
作者:Jiang, Qingchao Wang, Bei Yan, Xuefeng
机构:E China Univ Sci & Technol
来源:JOURNAL OF CHEMICAL ENGINEERING OF JAPAN  2014
关键词:Mutual Information   Independent Component Analysis   Fault Detection   Non-Gaussian Process Monitoring  
Configuration of the Mckibben Muscles and action Intention Detection for an Artificial Assistant Suit被引量:2收藏 分享
作者:Zhao, Huailin Wang, Bei
机构:Shanghai Inst Technol;E China Univ Sci & Technol
来源:INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS  2012
关键词:Artificial assistant suit   Mckibben muscle   action intention   SEMG   classifier  
Fault detection based on polygon area statistics of transformation matrix identified from combined moving window data被引量:1收藏 分享
作者:Wang, Bei Yan, Xuefeng Jin, Yongfei
机构:East China Univ Sci & Technol
来源:KOREAN JOURNAL OF CHEMICAL ENGINEERING  2017
关键词:Principal Component Analysis   Combined Moving Window   Polygon Area   Real-time Process Monitoring   Fault Detection  
已选条目 检索报告 聚类工具

版权所有©华东理工大学 重庆维普资讯有限公司 渝B2-20050021-7 
渝公网安备 50019002500408号 违法和不良信息举报中心