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Recursive Variable Projection Algorithm for a Class of Separable Nonlinear Models Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2021,Volume: 32,Issue: 11,Page: 4971-4982
Authors:  Gan, Min;  Guan, Yu;  Chen, Guang Yong;  Philip Chen, C. L.
Favorite |  | TC[WOS]:14 TC[Scopus]:14 | Submit date:2021/12/08
Online Learning  Recursive Identification  Separable Nonlinear Models (Snlms)  Variable Projection (Vp)  
Battery Electrode Mass Loading Prognostics and Analysis for Lithium-Ion Battery–Based Energy Storage Systems Journal article
Frontiers in Energy Research, 2021,Volume: 9
Authors:  Chen, Tao;  Song, Meng;  Hui, Hongxun;  Long, Huan
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battery electrode property prediction  battery parameter analysis  data-driven model  energy storage system  lithium-ion battery  
Accelerating variable projection algorithm by Aitken technique Conference paper
Conference Digest - 2021 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2021
Authors:  Xu, Min;  Lin, Fenggen;  Chen, Guangyong;  Gan, Min
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/12/08
Aitken acceleration technique  gradient descent algorithm (GD)  separable nonlinear models (SNLMs)  system identification  variable projection (VP)  
Heterogeneous data fusion for predicting mild cognitive impairment conversion Journal article
Information Fusion, 2021,Volume: 66,Page: 54-63
Authors:  Shen, Heng Tao;  Zhu, Xiaofeng;  Zhang, Zheng;  Wang, Shui Hua;  Chen, Yi;  Xu, Xing;  Shao, Jie
Favorite |  | TC[WOS]:30 TC[Scopus]:30 | Submit date:2021/12/07
Alzheimer's disease  Feature selection  Mild cognitive impairment  Sparse learning  Transfer 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.
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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  
Operating Reserve Quantification Using Prediction Intervals of Wind Power: An Integrated Probabilistic Forecasting and Decision Model Journal article
IEEE Transactions on Power Systems, 2021
Authors:  Zhao,Changfei;  Wan,Can;  Song,Yonghua
Favorite |  | TC[WOS]:3 TC[Scopus]:4 | Submit date:2021/03/09
Forecasting  machine learning  mixed integer linear programming  Operating reserve  prediction interval  probabilistic forecasting  Probabilistic logic  Stochastic processes  Uncertainty  Upper bound  Wind forecasting  wind power  Wind power generation  
SVM-Boosting based on Markov resampling: Theory and algorithm Journal article
Neural Networks, 2020,Volume: 131,Page: 276-290
Authors:  Jiang, Hongwei;  Zou, Bin;  Xu, Chen;  Xu, Jie;  Tang, Yuan Yan
Favorite |  | TC[WOS]:4 TC[Scopus]:6 | Submit date:2021/12/06
Boosting  Consistency  Resampling  Uniformly Ergodic Markov Chain (U.e.m.c.)  
Galerkin method-based model predictive control for mid-long term voltage stability enhancement Journal article
IET GENERATION TRANSMISSION & DISTRIBUTION, 2020,Volume: 14,Issue: 22,Page: 5302-5309
Authors:  Bingqing Xia;  Hao Wu;  Danfeng Shen;  Xiang Zheng;  Wen Hua;  Yonghua Song
Favorite |  | TC[WOS]:1 TC[Scopus]:1 | Submit date:2021/04/29
Polynomials  Galerkin Method  Power System Control  Optimisation  Power System Stability  Power System Transient Stability  Polynomial Approximation  Predictive Control  Galerkin Method-based Model Predictive Control  Mid-long Term Voltage Stability Enhancement  Slow Dynamic Elements  Protection Devices  Power System  Mpc  Voltage Stability Control  Prediction Model  Control Scheme  Galerkin Method-based Polynomial Approximation  Mid-long Term System Trajectories  Control Parameters  Polynomial Function  Prediction Accuracy  
Transcriptome analysis of peripheral whole blood identifies crucial lncRNAs implicated in childhood asthma Journal article
BMC Medical Genomics, 2020,Volume: 13,Issue: 1
Authors:  Zheng P.;  Huang C.;  Leng D.;  Sun B.;  Zhang X.D.
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Childhood Asthma  Deep Rna-sequencing  Long Non-coding Rnas  Transcriptome  
An Integrated Approach of Machine Learning and Systems Thinking for Waiting Time Prediction in an Emergency Department Journal article
International Journal of Medical Informatics, 2020,Volume: 139
Authors:  Kuo, Yong Hong;  Chan, Nicholas B.;  Leung, Janny M.Y.;  Meng, Helen;  So, Anthony Man Cho;  Tsoi, Kelvin K.F.;  Graham, Colin A.
Favorite |  | TC[WOS]:9 TC[Scopus]:10 | Submit date:2021/12/06
Artificial Intelligence  Emergency Departments  Machine Learning  Systems Thinking  Waiting Time