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Semi-Supervised Self-Correcting Graph Neural Network for Intelligent Fault Diagnosis of Rotating Machinery Journal article
Chen, Hao, Wang, Xian Bo, Yang, Zhi Xin. Semi-Supervised Self-Correcting Graph Neural Network for Intelligent Fault Diagnosis of Rotating Machinery[J]. IEEE Transactions on Instrumentation and Measurement, 2023, 72, 1-11.
Authors:  Chen, Hao;  Wang, Xian Bo;  Yang, Zhi Xin
Favorite | TC[WOS]:0 TC[Scopus]:8  IF:5.6/5.6 | Submit date：2024/02/22
Deep Learning  Expectation Maximization (Em) Algorithm  Graph Neural Network (Gnn)  Intelligent Fault Diagnosis (Ifd)  Rotating Machine  
Nuisance Parameter Estimation Algorithms for Separable Nonlinear Models Journal article
Chen, Long, Chen, Jia Bing, Gan, Min, Chen, Guang Yong, Chen, C. L.P.. Nuisance Parameter Estimation Algorithms for Separable Nonlinear Models[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 52(11), 7236-7247.
Authors:  Chen, Long;  Chen, Jia Bing;  Gan, Min;  Chen, Guang Yong;  Chen, C. L.P.
Favorite | TC[WOS]:5 TC[Scopus]:6  IF:8.6/8.7 | Submit date：2022/05/17
Expectation-maximization (Em) Algorithm  Hierarchical Identification Algorithm  Approximation Algorithms  Separable Nonlinear Optimization Problem  Variable Projection (Vp) Algorithm  
Bivariate Continuous Negatively Correlated Proportional Models with Applications in Schizophrenia Research Journal article
Sun, Yuan, Tian, Guoliang, Guo, Shuixia, Shu, Lianjie, Zhang, Chi. Bivariate Continuous Negatively Correlated Proportional Models with Applications in Schizophrenia Research[J]. Mathematics, 2022, 10(3), 353.
Authors:  Sun, Yuan;  Tian, Guoliang;  Guo, Shuixia;  Shu, Lianjie;  Zhang, Chi
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.3/2.2 | Submit date：2022/03/04
Bivariate Npga Models  Bivariate Npig Models  Cortical Thickness  N-em Algorithm  Proportional Data  
Adaptive Semi-supervise Graph Neural Network for Fault Diagnosis of Tunnel Ventilation Systems Conference paper
Hao Chen, Xian-bo Wang, Zhi-Xin Yang. Adaptive Semi-supervise Graph Neural Network for Fault Diagnosis of Tunnel Ventilation Systems[C]:IEEE, 2021, 53-57.
Authors:  Hao Chen;  Xian-bo Wang;  Zhi-Xin Yang
Favorite | TC[WOS]:0 TC[Scopus]:1 | Submit date：2022/05/13
Fault Diagnosis  Tunnel Fans  Graph Neural Network  Em Algorithm  Rotating Machine  
A novel expectation–maximization-based separable algorithm for parameter identification of RBF-AR model Journal article
Chen, Guang Yong, Chen, Long, Cheng, Chen, Zhang, Xian. A novel expectation–maximization-based separable algorithm for parameter identification of RBF-AR model[J]. Nonlinear Dynamics, 2021, 104(4), 4023-4034.
Authors:  Chen, Guang Yong;  Chen, Long;  Cheng, Chen;  Zhang, Xian
Favorite | TC[WOS]:5 TC[Scopus]:6  IF:5.2/4.8 | Submit date：2022/05/13
Expectation–maximization (Em) Algorithm  Parameter Estimation  Radial Basis Function Network-based State-dependent Autoregressive (Rbf-ar) Model  Separable Nonlinear Least Squares Problem (Snlls)  Variable Projection (Vp) Algorithm  
Folded normal regression models with applications in biomedicine Journal article
Liu, Xuanyu, Tian, Guo Liang, Fei, Yu, Shu, Lianjie, Zhao, Qiang. Folded normal regression models with applications in biomedicine[J]. Journal of Computational and Applied Mathematics, 2020, 379, 112941.
Authors:  Liu, Xuanyu;  Tian, Guo Liang;  Fei, Yu;  Shu, Lianjie;  Zhao, Qiang
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:2.1/2.1 | Submit date：2021/12/06
Bayesian Methods  Data Augmentation  Em Algorithm  Fn Distribution  Fn Regression Model  Stochastic Representation  
Ultrarobust support vector registration Journal article
Yin, Lei, Yu, Chong, Wang, Yuyi, Zou, Bin, Tang, Yuan Yan. Ultrarobust support vector registration[J]. Applied Intelligence, 2020, 51(6), 3664-3683.
Authors:  Yin, Lei;  Yu, Chong;  Wang, Yuyi;  Zou, Bin;  Tang, Yuan Yan
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:3.4/3.9 | Submit date：2021/12/08
Coordinate Descent Method  Em Algorithm  Manifold Regularization  Point Set Registration  Weighted Sv Regression  
Parameter Estimation of Gaussian Mixture Model Based on Variational Bayesian Learning Conference paper
Zhao L., Shang Z., Qin A., Tang Y.Y.. Parameter Estimation of Gaussian Mixture Model Based on Variational Bayesian Learning[C], 2018, 99-104.
Authors:  Zhao L.;  Shang Z.;  Qin A.;  Tang Y.Y.
Favorite | TC[WOS]:1 TC[Scopus]:1 | Submit date：2019/02/11
Annealing Algorithm  Gaussian Mixture Model  Parameter Estimation  Tsallis-davbem  Variational Bayes Em  
Signal denoising using wavelet and block hidden Markov model Conference paper
Liao Z.W., Lam E.C.M., Tang Y.Y.. Signal denoising using wavelet and block hidden Markov model[C], 2003, 2468-2471.
Authors:  Liao Z.W.;  Lam E.C.M.;  Tang Y.Y.
Favorite |  | Submit date：2019/02/11
Block HMM  Contextual HMM  EM algorithm  Hidden Markov Model (HMM)