-

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:
  • 人物=王蓓 x

159 条 记 录,以下是 1-30

视图:
排序方式:
共6页<< <123456> >>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  
脑控:基于脑-机接口的人机融合控制被引量:92收藏 分享
作者:王行愚 金晶 张宇 王蓓
机构:华东理工大学信息科学与工程学院化工过程先进控制和优化技术教育部重点实验室
来源:《自动化学报》  2013
关键词:脑控  脑-机接口  人机融合控制  脑电信号  
摘要:近年来,一类被称之为脑控的新型控制系统发展迅速,这是一种基于脑-机接口(Brain-computer interface,BCI)的人机融合控制系统,也是一种基于人的意念和思维的控制系统.脑控系统已被成功应用于残疾人的生...
下载全文在线阅读
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  
Research of eeG change feature under +Gz acceleration被引量:41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 Institute of Aeromedicine; Key Laboratory of Advanced Control and Optimization for Chemical Processes; Department of Automation; Research Institute of Information Technology; Department of Automation
来源:Computers in Industry  2015
关键词:acceleration  
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  
PSO-ε-SVM的回归算法被引量:26收藏 分享
作者:金晶 王行愚 罗先国 王蓓
机构:华东理工大学信息科学与工程学院
来源:《华东理工大学学报(自然科学版)》  2006
关键词:回归支持向量机  粒子群优化算法  ε不敏感损失函数  格点搜索  
摘要:回归支持向量机的ε不敏感损失函数的参数寻优是一个重要的问题,它与支持向量机的行为特性有紧密关系。本文给出了一种基于粒子群优化算法的、对ε不敏感损失函数的ε参数寻优的方法,仿真结果表明:采用基于粒子群优化算法的寻优方法寻找...
下载全文在线阅读
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  
Deep Convolutional Network Method for Automatic Sleep Stage Classification Based on Neurophysiological Signals被引量:22收藏 分享
作者:Sun, Yudong Wang, Bei Jin, Jing Wang, Xingyu
机构: Ministry of Education
来源:Proceedings - 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018  2018
关键词:Convolution - Neurophysiology - Inspection - Biomedical signal processing - Sleep research  
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  
A CNN model with statistical correction rules for automatic sleep stage scoring被引量:18收藏 分享
作者:Ma, Jiarui Wang, Bei Sun, Yudong Jin, Jing Wang, Xingyu
机构: Key Laboratory of Advanced Control and Optimization for Chemical Processes
来源:Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019  2019
Contrastive Learning forSleep Staging Based onInter Subject Correlation被引量:18收藏 分享
作者:Zhang, Tongxu Wang, Bei
机构: School of Information Science and Engineering
来源:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)  2023
关键词:Sleep research  
Real-time Online UAV Images Mosaic with Robustness to Cumulative Errors被引量:17收藏 分享
作者:Xia, Xing Wang, Bei Li, Jing Song, Li Gong, Yi Hang Deng, Bao Song
机构: Key Laboratory of Advanced Control and Optimization for Chemical Processes; National Innovation Institute of Defense Technology
来源:ACM International Conference Proceeding Series  2020
关键词:Errors - Degrees of freedom (mechanics)  
An Industrial Inspection Model Compression Framework Combining Group Slimming and Channel-Wise Distillation被引量:16收藏 分享
作者:Zhang, Xinyu Wang, Bei
机构: School of Information Science and Engineering
来源:Lecture Notes in Computer Science  2026
关键词:Deep learning - Education computing - Surface defects - Teaching  
eeG physiological signals correlation under condition of +Gz accelerations被引量:16收藏 分享
作者:Li, Yifeng Zhang, Tao Deng, Lue Wang, Bei Nakamura, Masatoshi
机构: Department of Automation; Air Force Institute of Aeromedicine; Department of Automation; Research Institute of Systems Control
来源:Journal of Multimedia  2013
关键词:Blood pressure - Heart - Testing - Electrocardiography - Spectrum analysis  
Automatic Sleep Staging Method Based on eeG Signal and its Optimized Feature Space被引量:16收藏 分享
作者:Yang, Meng Li, Ruichen Wang, Bei Zhang, Tao
机构: East China University of Science and Technology; Tsinghua University
来源:ICIIBMS 2022 - 7th International Conference on Intelligent Informatics and Biomedical Sciences  2022
关键词:Matrix algebra - Neural networks - Sleep research  
Rfid Indoor Positioning System Based on Rssi and Intelligent Optimization Algorithm被引量:16收藏 分享
作者:Jiang, Xue Wang, Bei
机构: School of Information Science and Engineering
来源:Proceedings of the 37th Chinese Control and Decision Conference, CCDC 2025  2025
关键词:Data acquisition - Indoor positioning systems - Optimization - Software design - Systems analysis  
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  
Automatic adaptive onset detection using an electromyogram with individual difference for control of a meal assistance robot被引量:15收藏 分享
作者:Zhang, X. Wang, X. Wang, B. Sugi, T. Nakamura, M.
机构: Department of Automation; Department of Electrical and Electronic Engineering; Department of Advanced Systems Control Engineering
来源:Journal of Medical Engineering and Technology  2009
关键词:Robots - Electromyography  
An unsupervised transfer learning model based on joint information for sleep stage classification被引量:15收藏 分享
作者:Li, Ruichen Wei, Huan Wang, Bei
机构: School of Information Science and Technology
来源:Proceedings - 2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2022  2022
关键词:Bioelectric phenomena - Biomedical signal processing - Classification (of information) - Electroencephalography - Learning systems  
An Attention-UNet Model to Remove Artifacts from Single-Channel eeG被引量:15收藏 分享
作者:Chen, Suo Wang, Bei
机构: School of Information Science and Technology
来源:Proceedings - 2024 17th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2024  2024
关键词:Brain mapping - Convolutional neural networks - Deep neural networks - Electrocardiography - Electrotherapeutics - Image segmentation - Signal denoising  
Automatic Identification of Printed Circuit Board Vias based on YOLO Algorithm被引量:15收藏 分享
作者:Ji, Jie Wang, Bei Huang, Jianming Tang, Yuezhong
机构: School of Information Science and Engineering; Austria Technologie and Systemtechnik Aktiengsellchaft
来源:Proceedings - 2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2022  2022
关键词:Automation - Integrated circuit manufacture - Printed circuit design - Timing circuits  
Two and multiple categorization of breast pathological images by transfer learning被引量:15收藏 分享
作者:Yan, Jiaxin Wang, Bei
机构: Key Laboratory of Smart Manufacturing in Energy Chemical Process
来源:ICIIBMS 2021 - 6th International Conference on Intelligent Informatics and Biomedical Sciences  2021
关键词:Computer aided instruction - Diseases - Medical imaging - Pathology - Deep learning - Learning systems  
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