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Structural health monitoring by a novel probabilistic machine learning method based on extreme value theory and mixture quantile modeling Journal article
Mechanical Systems and Signal Processing, 2022,Volume: 173
Authors:  Sarmadi, Hassan;  Yuen, Ka Veng
Favorite |  | TC[WOS]:0 TC[Scopus]:1 | Submit date:2022/05/13
Generalized Extreme Value  Machine Learning  Mixture Quantile  Probabilistic Anomaly Detection  Structural Health Monitoring  Threshold Estimation  
Novel hybrid extreme learning machine and multi-objective optimization algorithm for air pollution prediction Journal article
Applied Mathematical Modelling, 2022,Volume: 106,Page: 177-198
Authors:  Bai, Lu;  Liu, Zhi;  Wang, Jianzhou
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2022/05/13
Data Decomposition  Deterministic And Interval Predictions  Hybrid Prediction Model  Improved Extreme Learning Machine  Mathematical Modelling  Multi-objective Optimization Approach  
Mixed Deep Reinforcement Learning Considering Discrete-continuous Hybrid Action Space for Smart Home Energy Management Journal article
Journal of Modern Power Systems and Clean Energy, 2022,Volume: 10,Issue: 3,Page: 743-754
Authors:  Huang, Chao;  Zhang, Hongcai;  Wang, Long;  Luo, Xiong;  Song, Yonghua
Adobe PDF | Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2022/06/19
Demand Response  
1D convolutional neural networks for chart pattern classification in financial time series Journal article
Journal of Supercomputing, 2022
Authors:  Liu, Liying;  Si, Yain Whar
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1d Convolutional Neural Networks  Chart Patterns  Classification  Financial Time Series  
A Novel Multiple Feature-Based Engine Knock Detection System using Sparse Bayesian Extreme Learning Machine Journal article
Cognitive Computation, 2022,Volume: 14,Issue: 2,Page: 828-851
Authors:  Yang, Zhao Xu;  Rong, Hai Jun;  Wong, Pak Kin;  Angelov, Plamen;  Vong, Chi Man;  Chiu, Chi Wai;  Yang, Zhi Xin
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Engine Knock Detection  Multiple Feature Learning  Sample Entropy  Sparse Bayesian Extreme Learning Machine  Variational Mode Decomposition  
Design of a Combined System Based on Multi-Objective Optimization for Fine Particulate Matter (PM2.5) Prediction Journal article
Frontiers in Environmental Science, 2022,Volume: 10
Authors:  Bai, Lu;  Li, Hongmin;  Zeng, Bo;  Huang, Xiaojia
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air pollution forecasting  combined forecasting model  data decomposition  fuzzy computation and forecasting  improved extreme learning machine  multi-objective optimization approach  
A Task-Parallel and Reconfigurable FPGA-Based Hardware Implementation of Extreme Learning Machine Conference paper
ACM International Conference Proceeding Series
Authors:  Huang, Hui;  Rong, Hai Jun;  Yang, Zhao Xu
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Extreme learning machine  Field-programmable gate array  Reconfigurable architecture  Task-parallel computing  
Cgenet: A deep graph model for covid-19 detection based on chest ct Journal article
Biology, 2022,Volume: 11,Issue: 1
Authors:  Lu, Si Yuan;  Zhang, Zheng;  Zhang, Yu Dong;  Wang, Shui Hua
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2022/02/21
Computer-aided Diagnosis  Convolutional Neural Network  Extreme Learning Machine  Feedforward Neural Network  Graph Neural Network  Transfer Learning  
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 explainable framework for diagnosis of COVID-19 pneumonia via transfer learning and discriminant correlation analysis Journal article
ACM Transactions on Multimedia Computing, Communications and Applications, 2021,Volume: 17,Issue: 3s
Authors:  Lu, Siyuan;  Wu, Di;  Zhang, Zheng;  Wang, Shui Hua
Favorite |  | TC[WOS]:3 TC[Scopus]:1 | Submit date:2022/05/13
Computed tomography  COVID-19  Extreme learning machine  Random vector functional-link net  Randomized neural network  ResNet  Schmidt neural network