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Multinomial Bayesian extreme learning machine for sparse and accurate classification model Journal article
Neurocomputing, 2021,Volume: 423,Page: 24-33
Authors:  Luo,Jiahua;  Wong,Chi Man;  Vong,Chi Man
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Extreme learning machine  Multi-class classification  Multinomial distribution  Sparse Bayesian  Sparse learning  
GraphLSHC: Towards large scale spectral hypergraph clustering Journal article
Information Sciences, 2021,Volume: 544,Page: 117-134
Authors:  Yang,Yiyang;  Deng,Sucheng;  Lu,Juan;  Li,Yuhong;  Gong,Zhiguo;  U,Leong Hou;  Hao,Zhifeng
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Clustering  Hypergraph  Machine Learning  Unsupervised Learning  
An integrated computational methodology with data-driven machine learning, molecular modeling and PBPK modeling to accelerate solid dispersion formulation design Journal article
European Journal of Pharmaceutics and Biopharmaceutics, 2021,Volume: 158,Page: 336-346
Authors:  Gao,Hanlu;  Wang,Wei;  Dong,Jie;  Ye,Zhuyifan;  Ouyang,Defang
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Dissolution profile  Machine learning  molecular dynamics (MD) simulations  Pharmacokinetic modeling  Solid dispersion  
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
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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  
A 0.04% BER Strong PUF with Cell-Bias-Based CRPs Filtering and Background Offset Calibration Journal article
IEEE Transactions on Circuits and Systems I: Regular Papers, 2020,Volume: 67,Issue: 11,Page: 3853-3865
Authors:  Liu,Jiahao;  Zhu,Yan;  Chan,Chi Hang;  Martins,Rui Paulo
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authentication  hardware security  Internet of Things  low power  machine learning attacks  Physical unclonable function (PUF)  
Chance Constrained Extreme Learning Machine for Nonparametric Prediction Intervals of Wind Power Generation Journal article
IEEE TRANSACTIONS ON POWER SYSTEMS, 2020,Volume: 35,Issue: 5,Page: 3869-3884
Authors:  Can Wan;  Changfei Zhao;  Yonghua Song
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Prediction Interval  Forecasting  Wind Power  Chance Constraint  Extreme Learning Machine  Dc Optimization  
Could or could not of Grid-Loc: grid BLE structure for indoor localisation system using machine learning Journal article
Service Oriented Computing and Applications, 2020,Volume: 14,Issue: 3,Page: 161-174
Authors:  Hu,Quanyi;  Yang,Jie;  Qin,Peng;  Fong,Simon;  Guo,Jingzhi
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Bluetooth low energy  Machine learning  RFID  
Adaptive neural tracking control for automotive engine idle speed regulation using extreme learning machine Journal article
Neural Computing and Applications, 2020,Volume: 32,Issue: 18,Page: 14399-14409
Authors:  Wong,Pak Kin;  Huang,Wei;  Vong,Chi Man;  Yang,Zhixin
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Adaptive neural control  Engine idle speed regulation  Extreme learning machine  Uncertain nonlinearity  
Multi-resolution broad learning for model updating using incomplete modal data Journal article
Structural Control and Health Monitoring, 2020,Volume: 27,Issue: 8
Authors:  Kuok,Sin Chi;  Yuen,Ka Veng
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machine learning  modal measurement  model updating  multi-resolution broad learning  structural health monitoring  
Homo-ELM: fully homomorphic extreme learning machine Journal article
International Journal of Machine Learning and Cybernetics, 2020,Volume: 11,Issue: 7,Page: 1531-1540
Authors:  Wang,Weiru;  Gan,Yanfen;  Vong,Chi Man;  Chen,Chuangquan
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Encrypted image classification  Encrypted machine learning  Extreme learning machine  Fully homomorphic encryption  Privacy preservation