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Ensemble learning-based structural health monitoring by Mahalanobis distance metrics Journal article
Structural Control and Health Monitoring, 2021,Volume: 28,Issue: 2
Authors:  Sarmadi,Hassan;  Entezami,Alireza;  Saeedi Razavi,Behzad;  Yuen,Ka Veng
Favorite |  | TC[WOS]:3 TC[Scopus]:7 | Submit date:2021/03/09
Damage detection  ensemble learning  environmental variability  Mahalanobis distance  structural health monitoring  unsupervised learning  
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.
Adobe PDF | Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/03/03
Acceleration  Algorithm  Biomedical Monitoring  Entropy  Fast Computation  Graphics Processing Unit  Graphics Processing Units  Kernel  Parallel Computing  Sample Entropy  Standards  Time Series Analysis  
Bayesian Rayleigh wave inversion with an unknown number of layers Journal article
Earthquake Engineering and Engineering Vibration, 2020,Volume: 19,Issue: 4,Page: 875-886
Authors:  Yuen,Ka Veng;  Yang,Xiao Hui
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/03/09
Bayesian model class selection  generalized r/t coefficients algorithm  genetic algorithm  inversion of Rayleigh wave  number of layers  
Control of nonlinear systems under dynamic constraints: A unified barrier function-based approach Journal article
Automatica, 2020,Volume: 119
Authors:  Zhao,Kai;  Song,Yongduan;  Chen,C. L.Philip;  Chen,Long
Favorite |  | TC[WOS]:2 TC[Scopus]:4 | Submit date:2021/03/09
Nonparametric strict-feedback nonlinear systems  Robust adaptive control  State constraints  Unified barrier function  
Optimal Nonparametric Prediction Intervals of Electricity Load Journal article
IEEE Transactions on Power Systems, 2020,Volume: 35,Issue: 3,Page: 2467-2470
Authors:  Zhao,Changfei;  Wan,Can;  Song,Yonghua;  Cao,Zhaojing
Favorite |  | TC[WOS]:2 TC[Scopus]:4 | Submit date:2021/03/09
Binary Variable Reduction  Load Forecasting  Machine Learning  Mixed Integer Programming  Prediction Interval  
An Adaptive Bilevel Programming Model for Nonparametric Prediction Intervals of Wind Power Generation Journal article
IEEE Transactions on Power Systems, 2020,Volume: 35,Issue: 1,Page: 424-439
Authors:  Zhao,Changfei;  Wan,Can;  Song,Yonghua
Favorite |  | TC[WOS]:7 TC[Scopus]:11 | Submit date:2021/03/09
Bilevel Programming  Forecasting  Prediction Interval  Quantile Regression  Spatial Branch-and-bound  Wind Power  
A general moving detection method using dual-target nonparametric background model Journal article
Knowledge-Based Systems, 2019,Volume: 164,Page: 85-95
Authors:  Zhong Z.;  Wen J.;  Zhang B.;  Xu Y.
Favorite |  | TC[WOS]:7 TC[Scopus]:8 | Submit date:2019/04/04
Background modeling  Moving detection  Video surveillance  
Nonparametric Bayesian Correlated Group Regression with Applications to Image Classification Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2018,Volume: 29,Issue: 11,Page: 5330-5344
Authors:  Luo L.;  Yang J.;  Zhang B.;  Jiang J.;  Huang H.
Favorite |  | TC[WOS]:7 TC[Scopus]:11 | Submit date:2019/04/04
Correlated group regression  expectation-maximization (EM)  robust image classification  scale mixture of matrix Gaussian distribution  sparse Bayesian learning (SBL)  
Nonparametric Bayesian Correlated Group Regression With Applications to Image Classification Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018,Volume: 29,Issue: 11,Page: 5330-5344
Authors:  Luo, Lei;  Yang, Jian;  Zhang, Bob;  Jiang, Jielin;  Huang, Heng
Favorite |  | TC[WOS]:7 TC[Scopus]:11 | Submit date:2019/01/17
Correlated group regression  expectation-maximization (EM)  robust image classification  scale mixture of matrix Gaussian distribution  sparse Bayesian learning (SBL)  
Shared Autoencoder Gaussian Process Latent Variable Model for Visual Classification Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018,Volume: 29,Issue: 9,Page: 4272-4286
Authors:  Li, Jinxing;  Zhang, Bob;  Zhang, David
Favorite |  | TC[WOS]:5 TC[Scopus]:9 | Submit date:2018/10/30
Autoencoder  discriminative  Gaussian process (GP)  kernel  latent variable model  multiview