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Vectorization and distributed parallelization of Bayesian model updating based on a multivariate complex-valued probabilistic model of frequency response functions Journal article
Mechanical Systems and Signal Processing, 2021,Volume: 156
Authors:  Yan,Wang Ji;  Cao,Shi Ze;  Ren,Wei Xin;  Yuen,Ka Veng;  Li,Dan;  Katafygiotis,Lambros
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Bayesian theory  Distributed parallel computing  Frequency response function  Model updating  Structural health monitoring  Vectorization computation  
Evaluation of amylase immobilization on nanoclay by size exclusion chromatography and its application for starch removal from plant extracts of herbal medicines Journal article
Process Biochemistry, 2021,Volume: 101,Page: 36-41
Authors:  Shakerian,Farid;  Zhao,Jing;  Li,Shao Ping
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Amylase immobilization  Medicinal plants  Montmorillonite  Starch removal  
Theories, Methodologies and Applications of Probabilistic Forecasting for Power Systems with Renewable Energy Sources 新能源电力系统概率预测理论与方法及其应用 Journal article
Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2021,Volume: 45,Issue: 1,Page: 2-16
Authors:  Wan,Can;  Song,Yonghua
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Artificial intelligence  Power system  Prediction interval  Probabilistic forecasting  Renewable energy  Uncertainty  
Sampling sparse representations with randomized measurement langevin dynamics Journal article
ACM Transactions on Knowledge Discovery from Data, 2021,Volume: 15,Issue: 2
Authors:  Wang,Kafeng;  Xiong,Haoyi;  Bian,Jiang;  Zhu,Zhanxing;  Gao,Qian;  Guo,Zhishan;  Xu,Cheng Zhong;  Huan,Jun;  Dou,Dejing
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Compressive sensing  Hamiltonian Monte Carlo  LASSO  
Fast Algorithm Based on Parallel Computing for Sample Entropy Calculation Journal article
IEEE Access, 2021
Authors:  Dong X.;  Chen C.;  Geng Q.;  Zhang W.;  Zhang X.D.
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Acceleration  Algorithm  Biomedical Monitoring  Entropy  Fast Computation  Graphics Processing Unit  Graphics Processing Units  Kernel  Parallel Computing  Sample Entropy  Standards  Time Series Analysis  
Artificial Intelligence Prediction for the COVID-19 Data Based on LSTM Neural Networks and H2O AutoML Book chapter
出自: SpringerBriefs in Applied Sciences and Technology, 2021, 页码: 69-87
Authors:  Marques,Joao Alexandre Lobo;  Gois,Francisco Nauber Bernardo;  Xavier-Neto,José;  Fong,Simon James
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Nonlinear Prediction for the COVID-19 Data Based on Quadratic Kalman Filtering Book chapter
出自: SpringerBriefs in Applied Sciences and Technology, 2021, 页码: 55-68
Authors:  Marques,Joao Alexandre Lobo;  Gois,Francisco Nauber Bernardo;  Xavier-Neto,José;  Fong,Simon James
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High-strength steel frames with SMA connections in self-centring energy-dissipation bays: Insights and a multimodal nonlinear static procedure Journal article
Smart Materials and Structures, 2020,Volume: 29,Issue: 12
Authors:  Ke,Ke;  Yam,Michael C.H.;  Zhang,Huanyang;  Lam,Angus C.C.;  Zhou,Xuhong
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Energy dissipation bay  High strength steel  Nonlinear static procedure  Self-centring  Shape memory alloy  
HySync: Hybrid Federated Learning with Effective Synchronization Conference paper
Proceedings - 2020 IEEE 22nd International Conference on High Performance Computing and Communications, IEEE 18th International Conference on Smart City and IEEE 6th International Conference on Data Science and Systems, HPCC-SmartCity-DSS 2020
Authors:  Shi,Guomei;  Li,Li;  Wang,Jun;  Chen,Wenyan;  Ye,Kejiang;  Xu,Chengzhong
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Efficient scheduling  Federated learning  hybrid algorithm  
Development of a comprehensive method combining UHPLC-CAD fingerprint, multi-components quantitative analysis for quality evaluation of Zishen Yutai Pills: A step towards quality control of Chinese patent medicine Journal article
Journal of Pharmaceutical and Biomedical Analysis, 2020,Volume: 191
Authors:  Cao,Jiliang;  Lei,Ting;  Wu,Sijia;  Li,Hongyi;  Deng,Yun;  Lin,Ruizhen;  Ning,Na;  Geng,Chunxian;  Wang,Shengpeng;  Wu,Xu;  Li,Peng;  Wang,Yitao
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Chemical Characterization  Chemical Fingerprint  Multi-components Quantitative Analysis  Quality Evaluation  Zishen Yutai Pills