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An Efficient Fault Diagnostic Method for Three-Phase Induction Motors Based on Incremental Broad Learning and Non-Negative Matrix Factorization Journal article
IEEE Access, 2019,Volume: 7,Page: 17780-17790
Authors:  Jiang S.B.;  Wong P.K.;  Guan R.;  Liang Y.;  Li J.
Favorite  |  View/Download:4/0  |  Submit date:2019/03/26
Fault Diagnosis  Feature Extraction  Incremental Board Learning  Non-negative Matrix Factorization  Three-phase Induction Motor  
Multi-View CNN Feature Aggregation with ELM Auto-Encoder for 3D Shape Recognition Journal article
COGNITIVE COMPUTATION, 2018,Volume: 10,Issue: 6,Page: 908-921
Authors:  Yang, Zhi-Xin;  Tang, Lulu;  Zhang, Kun;  Wong, Pak Kin
Favorite  |  View/Download:13/0  |  Submit date:2019/01/17
Elm Auto-encoder  Convolutional Neural Networks  3d Shape Recognition  Multi-view Feature Aggregation  
Postboosting Using Extended G-Mean for Online Sequential Multiclass Imbalance Learning Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018,Volume: 29,Issue: 12,Page: 6163-6177
Authors:  Vong, Chi-Man;  Du, Jie;  Wong, Chi-Man;  Cao, Jiu-Wen
Favorite  |  View/Download:5/0  |  Submit date:2019/01/17
Dynamic changing distribution  extreme learning machine  imbalance class distribution  multiclass imbalance learning  online sequential learning  
Counting passengers in public buses by sensing carbon dioxide concentration: System design and implementation Conference paper
ACM International Conference Proceeding Series
Authors:  Li T.;  Fong S.
Favorite  |  View/Download:2/0  |  Submit date:2019/02/13
Carbon dioxide sensor  Occupancy  
Empirical kernel map-based multilayer extreme learning machines for representation learning Journal article
NEUROCOMPUTING, 2018,Volume: 310,Page: 265-276
Authors:  Chi-Man Vong;  Chen, Chuangquan;  Wong, Pak-Kin
Favorite  |  View/Download:53/0  |  Submit date:2018/10/30
Kernel Learning  Multilayer Extreme Learning Machine (Ml-elm)  Empirical Kernel Map (Ekm)  Representation Learning  Stacked Autoencoder (Sae)  
Fault diagnosis of rotating machinery based on multiple probabilistic classifiers Journal article
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2018,Volume: 108,Page: 99-114
Authors:  Zhong, Jian-Hua;  Wong, Pak Kin;  Yang, Zhi-Xin
Favorite  |  View/Download:13/0  |  Submit date:2018/10/30
Rotating Machinery  Automotive Engine  Simultaneous-fault Diagnosis  Sparse Bayesian Extreme Learning Machine  Probabilistic Committee Machine  
Adaptive air-fuel ratio control of dual-injection engines under biofuel blends using extreme learning machine Journal article
ENERGY CONVERSION AND MANAGEMENT, 2018,Volume: 165,Page: 66-75
Authors:  Wong, Ka In;  Wong, Pak Kin
Favorite  |  View/Download:7/0  |  Submit date:2018/10/30
Biofuel  Dual-injection  Air fuel ratio control  Adaptive control  Extreme learning machine  
Efficient extreme learning machine via very sparse random projection Journal article
SOFT COMPUTING, 2018,Volume: 22,Issue: 11,Page: 3563-3574
Authors:  Chen, Chuangquan;  Vong, Chi-Man;  Wong, Chi-Man;  Wang, Weiru;  Wong, Pak-Kin
Favorite  |  View/Download:45/0  |  Submit date:2018/10/30
Extreme Learning Machine (Elm)  Sparse-bernoulli Matrix  Very Sparse Random Projection  Dimension Reduction  Compression Layer  
An intelligent propagation distance estimation algorithm based on fundamental frequency energy distribution for periodic vibration localization Journal article
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2018,Volume: 355,Issue: 4,Page: 1539-1558
Authors:  Cao, Jiuwen;  Wang, Tianlei;  Shang, Luming;  Lai, Xiaoping;  Vong, Chi-Man;  Chen, Badong
Favorite  |  View/Download:9/0  |  Submit date:2018/10/30
Efficient point-by-point engine calibration using machine learning and sequential design of experiment strategies Journal article
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2018,Volume: 355,Issue: 4,Page: 1517-1538
Authors:  Wong, Pak Kin;  Gao, Xiang Hui;  Wong, Ka In;  Vong, Chi Man
Favorite  |  View/Download:14/0  |  Submit date:2018/10/30