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Sensor fault detection, localization, and reconstruction for online structural identification Journal article
Structural Control and Health Monitoring, 2022,Volume: 29,Issue: 4
Authors:  Huang, Ke;  Yuen, Ka Veng;  Wang, Lei;  Jiang, Tianyong;  Dai, Lizhao
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2022/05/04
Bayesian Inference  Faulty Sensor  Kalman Filter  Online Estimation  Sensor Validation  Structural Health Monitoring  
Scalable and memory-efficient sparse learning for classification with approximate Bayesian regularization priors Journal article
Neurocomputing, 2021,Volume: 457,Page: 106-116
Authors:  Luo, Jiahua;  Gan, Yanfen;  Vong, Chi Man;  Wong, Chi Man;  Chen, Chuangquan
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/12/08
Approximate Bayesian Regularization Priors  Relevance Vector Machine  Scalable Sparse Bayesian Learning  Sparse Bayesian Extreme Learning Machine  
An Inverse-Free and Scalable Sparse Bayesian Extreme Learning Machine for Classification Problems Journal article
IEEE Access, 2021,Volume: 9,Page: 87543-87551
Authors:  Luo, Jiahua;  Vong, Chi Man;  Liu, Zhenbao;  Chen, Chuangquan
Favorite |  | TC[WOS]:1 TC[Scopus]:1 | Submit date:2022/05/13
Inverse-free  large classification  quasi-Newton method  sparse Bayesian extreme learning machine  sparse model  
Multi-resolution broad learning for model updating using incomplete modal data Journal article
Structural Control and Health Monitoring, 2020,Volume: 27,Issue: 8
Authors:  Sin-Chi Kuok;  Ka-Veng Yuen
Favorite |  | TC[WOS]:3 TC[Scopus]:2 | Submit date:2021/03/09
Machine Learning  Modal Measurement  Model Updating  Multi-resolution Broad Learning  Structural Health Monitoring  
Robust Online Multilabel Learning under Dynamic Changes in Data Distribution with Labels Journal article
IEEE Transactions on Cybernetics, 2020,Volume: 50,Issue: 1,Page: 374-385
Authors:  Du,Jie;  Vong,Chi Man
Favorite |  | TC[WOS]:5 TC[Scopus]:7 | Submit date:2021/03/11
Concept Drift  Dynamic Changes  Multilabel Data Streams  Online Multilabel Learning (Omll)  
A Fast On-Chip SVM-Training System with Dual-Mode Configurable Pipelines and MSMO Scheduler Journal article
IEEE Transactions on Circuits and Systems I: Regular Papers, 2019,Volume: 66,Issue: 11,Page: 4230-4241
Authors:  Feng, Lichen;  Li, Zunchao;  Wang, Yuanfa;  Wang, Chuang
Favorite |  | TC[WOS]:1 TC[Scopus]:2 | Submit date:2022/05/17
Dual-mode configurable pipelines (DCP)  on-chip training  sequential minimal optimization (SMO)  support vector machine (SVM)  
Effect of Working Memory Updating Training on Retrieving Symptoms of Children With Learning Disabilities Journal article
Journal of Learning Disabilities, 2019,Volume: 51,Issue: 5,Page: 507-519
Authors:  Chen,Xiaoying;  Ye,Maolin;  Chang,Lei;  Chen,Weigang;  Zhou,Renlai
Favorite |  | TC[WOS]:5 TC[Scopus]:5 | Submit date:2019/06/25
fluid intelligence  learning disabilities  working memory updating training  
Working memory updating training improves mathematics performance in middle school students with learning difficulties Journal article
Frontiers in Human Neuroscience, 2019,Volume: 12
Authors:  Zhang,Hongxia;  Chang,Lei;  Chen,Xiaoying;  Ma,Liang;  Zhou,Renlai
Favorite |  | TC[WOS]:10 TC[Scopus]:8 | Submit date:2019/06/25
Learning difficulties  N160  P300  Updating training  Working memory  
Product-oriented product service system for large-scale vision inspection Conference paper
Procedia CIRP, PEOPLES R CHINA, MAY 29-31, 2019
Authors:  Zhou,Binggui;  Yang,Guanghua;  Ma,Shaodan
Favorite |  | TC[WOS]:1 TC[Scopus]:1 | Submit date:2021/03/11
Incremental Updating  Inference Acceleration  Large Scale  Product-oriented Pss  Vision Inspection  
Working Memory Training Improves Emotion Regulation Ability Journal article
Scientific Reports, 2018,Volume: 8,Issue: 1
Authors:  Xiu,Lichao;  Wu,Jie;  Chang,Lei;  Zhou,Renlai
Adobe PDF | Favorite |  | TC[WOS]:15 TC[Scopus]:15 | Submit date:2019/07/08