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A Novel Multiple Feature-Based Engine Knock Detection System using Sparse Bayesian Extreme Learning Machine Journal article
Yang, Zhao Xu, Rong, Hai Jun, Wong, Pak Kin, Angelov, Plamen, Vong, Chi Man, Chiu, Chi Wai, Yang, Zhi Xin. A Novel Multiple Feature-Based Engine Knock Detection System using Sparse Bayesian Extreme Learning Machine[J]. Cognitive Computation, 2022, 14(2), 828-851.
Authors:  Yang, Zhao Xu;  Rong, Hai Jun;  Wong, Pak Kin;  Angelov, Plamen;  Vong, Chi Man; et al.
Favorite | TC[WOS]:15 TC[Scopus]:11  IF:4.3/4.0 | Submit date：2022/05/13
Engine Knock Detection  Multiple Feature Learning  Sample Entropy  Sparse Bayesian Extreme Learning Machine  Variational Mode Decomposition  
Fast Algorithm Based on Parallel Computing for Sample Entropy Calculation Journal article
Dong, Xinzheng, Chen, Chang, Geng, Qingshan, Zhang, Wensheng, Zhang, Xiaohua Douglas. Fast Algorithm Based on Parallel Computing for Sample Entropy Calculation[J]. IEEE Access, 2021, 9, 20223-20234.
Authors:  Dong, Xinzheng;  Chen, Chang;  Geng, Qingshan;  Zhang, Wensheng;  Zhang, Xiaohua Douglas
Adobe PDF | Favorite | TC[WOS]:4 TC[Scopus]:5  IF:3.4/3.7 | Submit date：2021/03/03
Algorithm  Fast Computation  Graphics Processing Unit  Parallel Computing  Sample Entropy  
A comprehensive comparison and overview of R packages for calculating sample entropy Journal article
Chen, Chang, Sun, Shixue, Cao, Zhixin, Shi, Yan, Sun, Baoqing, Zhang, Xiaohua Douglas. A comprehensive comparison and overview of R packages for calculating sample entropy[J]. Biology Methods & Protocols, 2019, 4(1), bpz016.
Authors:  Chen, Chang;  Sun, Shixue;  Cao, Zhixin;  Shi, Yan;  Sun, Baoqing; et al.
Adobe PDF | Favorite | TC[WOS]:16 TC[Scopus]:16 | Submit date：2021/03/03
Comparison  Nonlinear Dynamics  r Package  Sample Entropy  Time Series  
An improved method of handling missing values in the analysis of sample entropy for continuous monitoring of physiological signals Journal article
Dong X., Chen C., Geng Q., Cao Z., Chen X., Lin J., Jin Y., Zhang Z., Shi Y., Zhang X.D.. An improved method of handling missing values in the analysis of sample entropy for continuous monitoring of physiological signals[J]. Entropy, 2019, 21(3).
Authors:  Dong X.;  Chen C.;  Geng Q.;  Cao Z.;  Chen X.; et al.
Adobe PDF | Favorite | TC[WOS]:20 TC[Scopus]:20  IF:2.1/2.2 | Submit date：2021/03/03
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
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.. Analyzing complexity and fractality of glucose dynamics in a pregnant woman with type 2 diabetes under treatment[J]. International Journal of Biological Sciences, 2019, 15(11), 2373-2380.
Authors:  Chen X.;  Wang D.;  Lin J.;  Zhang T.;  Deng S.; et al.
Adobe PDF | Favorite | TC[WOS]:1 TC[Scopus]:2  IF:8.2/8.3 | Submit date：2021/03/03
Complexity Analysis  Continuous Glucose Monitoring  Fractal Analysis  Multiscale Sample Entropy  Type 2 Diabetes With Pregnancy  
Correlated EEMD and Effective Feature Extraction for Both Periodic and Irregular Faults Diagnosis in Rotating Machinery Journal article
Liang, Jiejunyi, Zhong, Jian-Hua, Yang, Zhi-Xin. Correlated EEMD and Effective Feature Extraction for Both Periodic and Irregular Faults Diagnosis in Rotating Machinery[J]. ENERGIES, 2017, 10(10).
Authors:  Liang, Jiejunyi;  Zhong, Jian-Hua;  Yang, Zhi-Xin
Favorite | TC[WOS]:11 TC[Scopus]:15  IF:3.0/3.0 | Submit date：2018/10/30
Acoustic Signal  Ensemble Empirical Mode Decomposition  Sparse Bayesian Extreme Learning Machine  Sample Entropy  Singular Value Decomposition  
Correlated EEMD and effective feature extraction for both periodic and irregular faults diagnosis in rotating machinery Journal article
Liang J., Zhong J.-H., Yang Z.-X.. Correlated EEMD and effective feature extraction for both periodic and irregular faults diagnosis in rotating machinery[J]. Energies, 2017, 10(10).
Authors:  Liang J.;  Zhong J.-H.;  Yang Z.-X.
Favorite | TC[WOS]:11 TC[Scopus]:15 | Submit date：2018/12/22
Acoustic Signal  Ensemble Empirical Mode Decomposition  Sample Entropy  Singular Value Decomposition  Sparse Bayesian Extreme Learning Machine  
Asymptotics of Sample Entropy Production Rate for Stochastic Differential Equations Journal article
Wang,Feng Yu, Xiong,Jie, Xu,Lihu. Asymptotics of Sample Entropy Production Rate for Stochastic Differential Equations[J]. JOURNAL OF STATISTICAL PHYSICS, 2016, 163(5), 1211-1234.
Authors:  Wang,Feng Yu;  Xiong,Jie;  Xu,Lihu
Favorite | TC[WOS]:9 TC[Scopus]:9  IF:1.3/1.5 | Submit date：2019/06/03
Sample Entropy Production Rate  Central Limit Theorem  Moderate Deviation Principle  Logarithmic Iteration Law  Stochastic Differential Equation  Harnack Inequality  
A hybrid EEMD-based SampEn and SVD for acoustic signal processing and fault diagnosis Journal article
Yang Z.-X., Zhong J.-H.. A hybrid EEMD-based SampEn and SVD for acoustic signal processing and fault diagnosis[J]. Entropy, 2016, 18(4).
Authors:  Yang Z.-X.;  Zhong J.-H.
Favorite | TC[WOS]:38 TC[Scopus]:52 | Submit date：2018/12/22
Acoustic Signal Processing  Ensemble Empirical Mode Decomposition (Eemd)  Fault Diagnosis  Hybrid System  Sample Entropy (Sampen)  Singular Value Decomposition (Svd)  
A novel wavelet transform – empirical mode decomposition based sample entropy and SVD approach for acoustic signal fault diagnosis Conference paper
Liang J., Yang Z.. A novel wavelet transform – empirical mode decomposition based sample entropy and SVD approach for acoustic signal fault diagnosis[C], 2015, 232-241.
Authors:  Liang J.;  Yang Z.
Favorite | TC[Scopus]:6 | Submit date：2018/12/22
Acoustic Signal  Incipient Fault Diagnosis  Sample Entropy  Singular Value Decomposition  Wavelet Transform- Empirical Mode Decomposition