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Machinery multi-sensor fault diagnosis based on adaptive multivariate feature mode decomposition and multi-attention fusion residual convolutional neural network Journal article
Yan Xiaoan, Yan Wangji, Xu Yadong, Yuen Kaveng. Machinery multi-sensor fault diagnosis based on adaptive multivariate feature mode decomposition and multi-attention fusion residual convolutional neural network[J]. Mechanical Systems and Signal Processing, 2023, 202, 110664.
Authors:  Yan Xiaoan;  Yan Wangji;  Xu Yadong;  Yuen Kaveng
Adobe PDF | Favorite | TC[WOS]:28 TC[Scopus]:31  IF:7.9/8.0 | Submit date：2023/08/30
Multivariate Feature Mode Decomposition  Multi-attention Fusion Residual Convolutional Neural Network  Multi-sensor Data  Machinery Fault Diagnosis  
Improved Normalized Cut for Multi-view Clustering Journal article
Zhong, Guo, Pun, Chi Man. Improved Normalized Cut for Multi-view Clustering[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 44(12), 10244-10251.
Authors:  Zhong, Guo;  Pun, Chi Man
Favorite | TC[WOS]:25 TC[Scopus]:28  IF:20.8/22.2 | Submit date：2022/05/13
Clustering  Clustering Algorithms  Clustering Methods  Fuses  Laplace Equations  Linear Programming  Matrix Decomposition  Multi-view Data  Normalized Cut  Optimization  
A Sliding Windows Singular Decomposition Model of Monitoring Data for Operational Tunnels Journal article
Xing, Rongjun, Xu, Pai, Yao, Zhongming, Li, Zhong, Yin, Yuanwei, Shi, Bo. A Sliding Windows Singular Decomposition Model of Monitoring Data for Operational Tunnels[J]. Symmetry, 2022, 14(7).
Authors:  Xing, Rongjun;  Xu, Pai;  Yao, Zhongming;  Li, Zhong;  Yin, Yuanwei; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1 | Submit date：2022/08/02
Big Data  Data-driven  Orthogonal Decomposition  Principal Component Analysis  Tunnel Deformation  
Novel hybrid extreme learning machine and multi-objective optimization algorithm for air pollution prediction Journal article
Lu Bai, Zhi Liu, Jianzhou Wang. Novel hybrid extreme learning machine and multi-objective optimization algorithm for air pollution prediction[J]. Applied Mathematical Modelling, 2022, 106, 177-198.
Authors:  Lu Bai;  Zhi Liu;  Jianzhou Wang
Favorite | TC[WOS]:17 TC[Scopus]:19  IF:4.4/4.2 | Submit date：2022/05/13
Data Decomposition  Deterministic And Interval Predictions  Hybrid Prediction Model  Improved Extreme Learning Machine  Mathematical Modelling  Multi-objective Optimization Approach  
Design of a Combined System Based on Multi-Objective Optimization for Fine Particulate Matter (PM2.5) Prediction Journal article
Bai, Lu, Li, Hongmin, Zeng, Bo, Huang, Xiaojia. Design of a Combined System Based on Multi-Objective Optimization for Fine Particulate Matter (PM2.5) Prediction[J]. Frontiers in Environmental Science, 2022, 10, 833374.
Authors:  Bai, Lu;  Li, Hongmin;  Zeng, Bo;  Huang, Xiaojia
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:3.3/3.7 | Submit date：2022/05/17
Air Pollution Forecasting  Combined Forecasting Model  Data Decomposition  Fuzzy Computation And Forecasting  Improved Extreme Learning Machine  Multi-objective Optimization Approach  
A General Loss-Based Nonnegative Matrix Factorization for Hyperspectral Unmixing Journal article
Peng, Jiangtao, Sun, Weiwei, Jiang, Fan, Chen, Hong, Zhou, Yicong, Du, Qian. A General Loss-Based Nonnegative Matrix Factorization for Hyperspectral Unmixing[J]. IEEE Geoscience and Remote Sensing Letters, 2020, 19, 5500105.
Authors:  Peng, Jiangtao;  Sun, Weiwei;  Jiang, Fan;  Chen, Hong;  Zhou, Yicong; et al.
Favorite | TC[WOS]:4 TC[Scopus]:13  IF:4.0/4.4 | Submit date：2022/05/17
Hyperspectral Imaging  Robustness  Data Models  Matrix Decomposition  Shape  Loss Measurement  General Loss  Hyperspectral Unmixing  Nonnegative Matrix Factorization (Nmf)  
Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture Journal article
Chen, C. L. Philip, Liu, Zhulin. Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 29(1), 10-24.
Authors:  Chen, C. L. Philip;  Liu, Zhulin
Favorite | TC[WOS]:983 TC[Scopus]:1412  IF:10.2/10.4 | Submit date：2018/10/30
Big Data  Big Data Modeling  Broad Learning System (Bls)  Deep Learning  Incremental Learning  Random Vector Functional-link Neural Networks (Rvflnn)  Single Layer Feedforward Neural Networks (Slfn)  Singular Value Decomposition (Svd)  
A novel ECG data compression method based on adaptive Fourier decomposition Conference paper
Tan C., Zhang L.. A novel ECG data compression method based on adaptive Fourier decomposition[C], 2017.
Authors:  Tan C.;  Zhang L.
Favorite | TC[WOS]:1 TC[Scopus]:1 | Submit date：2019/04/04
Adaptive Fourier Decomposition (Afd)  Biomedical Signal Processing  Data Compression  E-health  Electrocardiogram (Ecg)  
A Novel ECG Data Compression Method Based on Adaptive Fourier Decomposition Conference paper
Tan, Chunyu, Zhang, Liming, Ishii, C, Capi, G, Zhou, J. A Novel ECG Data Compression Method Based on Adaptive Fourier Decomposition[C], 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA:SPIE-INT SOC OPTICAL ENGINEERING, 2017.
Authors:  Tan, Chunyu;  Zhang, Liming;  Ishii, C;  Capi, G;  Zhou, J
Favorite | TC[WOS]:1 TC[Scopus]:1 | Submit date：2018/10/30
Adaptive Fourier Decomposition (Afd)  Data Compression  Electrocardiogram (Ecg)  Biomedical Signal Processing  E-health