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Fast Algorithm Based on Parallel Computing for Sample Entropy Calculation Journal article
IEEE Access, 2021
Authors:  Dong X.;  Chen C.;  Geng Q.;  Zhang W.;  Zhang X.D.
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Acceleration  Algorithm  Biomedical Monitoring  Entropy  Fast Computation  Graphics Processing Unit  Graphics Processing Units  Kernel  Parallel Computing  Sample Entropy  Standards  Time Series Analysis  
An improved method of handling missing values in the analysis of sample entropy for continuous monitoring of physiological signals Journal article
Entropy, 2019,Volume: 21,Issue: 3
Authors:  Dong X.;  Chen C.;  Geng Q.;  Cao Z.;  Chen X.;  Lin J.;  Jin Y.;  Zhang Z.;  Shi Y.;  Zhang X.D.
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Complexity  Medical Information  Missing Values  Physiological Data  Sample Entropy  
Analyzing complexity and fractality of glucose dynamics in a pregnant woman with type 2 diabetes under treatment Journal article
International Journal of Biological Sciences, 2019,Volume: 15,Issue: 11,Page: 2373-2380
Authors:  Chen X.;  Wang D.;  Lin J.;  Zhang T.;  Deng S.;  Huang L.;  Jin Y.;  Chen C.;  Zhang Z.;  Zheng J.;  Sun B.;  Bogdan P.;  Zhang X.D.
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Complexity Analysis  Continuous Glucose Monitoring  Fractal Analysis  Multiscale Sample Entropy  Type 2 Diabetes With Pregnancy  
A Fault Diagnostic Method for Induction Motors Based on Feature Incremental Broad Learning and Singular Value Decomposition Journal article
IEEE Access, 2019,Volume: 7,Page: 157796-157806
Authors:  Jiang，Sai Biao;  Wong，Pak Kin;  Liang，Yan Chun
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Fault diagnosis  feature extraction  incremental broad learning  induction motor  singular value decomposition  
An Efficient Fault Diagnostic Method for Three-Phase Induction Motors Based on Incremental Broad Learning and Non-Negative Matrix Factorization Journal article
IEEE Access, 2019,Volume: 7,Page: 17780-17790
Authors:  Jiang S.B.;  Wong P.K.;  Guan R.;  Liang Y.;  Li J.
Favorite |  | TC[WOS]:12 TC[Scopus]:15 | Submit date：2019/03/26
Fault Diagnosis  Feature Extraction  Incremental Board Learning  Non-negative Matrix Factorization  Three-phase Induction Motor  
A comprehensive comparison and overview of R packages for calculating sample entropy Journal article
Biology Methods and Protocols, 2019,Volume: 4,Issue: 1
Authors:  Chen C.;  Sun S.;  Cao Z.;  Shi Y.;  Sun B.;  Zhang X.D.
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Comparison  Nonlinear Dynamics  r Package  Sample Entropy  Time Series  
CGManalyzer: an R package for analyzing continuous glucose monitoring studies Journal article
BIOINFORMATICS, 2018,Volume: 34,Issue: 9,Page: 1609-1611
Authors:  Zhang, Xiaohua Douglas;  Zhang, Zhaozhi;  Wang, Dandan
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CGManalyzer: An R package for analyzing continuous glucose monitoring studies Journal article
Bioinformatics, 2018,Volume: 34,Issue: 9,Page: 1609-1611
Authors:  Zhang X.D.;  Zhang Z.;  Wang D.
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Computer-Aided Formulation Design for a Highly Soluble Lutein-Cyclodextrin Multiple-Component Delivery System Journal article
MOLECULAR PHARMACEUTICS, 2018,Volume: 15,Issue: 4,Page: 1664-1673
Authors:  Zhao, Qianqian;  Miriyala, Nikhila;  Su, Yan;  Chen, Weijie;  Gao, Xuejiao;  Shao, Ling;  Yan, Ru;  Li, Haifeng;  Yao, Xiaojun;  Cao, Dongsheng;  Wang, Yitao;  Ouyang, Defang
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Lutein  Cyclodextrin  Multiple-component System  Molecular Dynamics Simulation  Bioavailability  Computer-aided Formulation Design  
Correlated EEMD and Effective Feature Extraction for Both Periodic and Irregular Faults Diagnosis in Rotating Machinery Journal article
ENERGIES, 2017,Volume: 10,Issue: 10
Authors:  Liang, Jiejunyi;  Zhong, Jian-Hua;  Yang, Zhi-Xin
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acoustic signal  ensemble empirical mode decomposition  sparse Bayesian extreme learning machine  sample entropy  singular value decomposition