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A probability approximation framework: Markov process approach Journal article
Chen, Peng, Shao, Qi Man, Xu, Lihu. A probability approximation framework: Markov process approach[J]. Annals of Applied Probability, 2023, 33(2), 1619-1659.
Authors:  Chen, Peng;  Shao, Qi Man;  Xu, Lihu
Favorite | TC[WOS]:1 TC[Scopus]:0  IF:1.4/1.9 | Submit date：2023/05/02
Euler–maruyama (Em) Discretization  Itô’s Formula  Markov Process  Normal Approximation  Online Stochastic Gradient Descent  Probability Approximation  Stable Process  Stochastic Differential Equation  Wasserstein-1 Distance  
Splitting preconditioning based on sine transform for time-dependent Riesz space fractional diffusion equations Journal article
Lu,Xin, Fang,Zhi Wei, Sun,Hai Wei. Splitting preconditioning based on sine transform for time-dependent Riesz space fractional diffusion equations[J]. Journal of Applied Mathematics and Computing, 2020, 66(1-2), 673–700.
Authors:  Lu,Xin;  Fang,Zhi Wei;  Sun,Hai Wei
Favorite | TC[WOS]:20 TC[Scopus]:21  IF:2.4/2.3 | Submit date：2021/03/09
Gmres Method  Riesz Space Fractional Diffusion Equations  Shifted Grünwald Discretization  Sine-transform-based Splitting Preconditioner  Symmetric Positive Definite Toeplitz Matrix  
Optimal Investment of Electrolyzers and Seasonal Storages in Hydrogen Supply Chains Incorporated With Renewable Electric Networks Journal article
Jiarong Li, Jin Lin, Hongcai Zhang, Yonghua Song, Gang Chen, Lijie Ding, Danxi Liang. Optimal Investment of Electrolyzers and Seasonal Storages in Hydrogen Supply Chains Incorporated With Renewable Electric Networks[J]. IEEE Transactions on Sustainable Energy, 2019, 11(3), 1773-1784.
Authors:  Jiarong Li;  Jin Lin;  Hongcai Zhang;  Yonghua Song;  Gang Chen; et al.
Favorite | TC[WOS]:89 TC[Scopus]:117  IF:8.6/8.6 | Submit date：2021/05/10
Hydrogen Supply Chain  Electric Network  The Uniform Hierarchical Time Discretization Method  Hydrogen  Transportation  Renewable Energy Sources  Investment  Hydrogen Storage  Hydroelectric Power Generation  Power Systems  
An approach on discretizing time series using recurrent neural network Conference paper
Lei, Kuan Cheok, Zhang, Xiaohua Douglas. An approach on discretizing time series using recurrent neural network[C], 2019, 2522-2526.
Authors:  Lei, Kuan Cheok;  Zhang, Xiaohua Douglas
Favorite | TC[WOS]:8 TC[Scopus]:8 | Submit date：2022/04/15
Deep Learning  Recurrent Neural Network  Time Series Discretization  
An improved improved Id3 algorithm for medical data classification Journal article
Shuo Yang, Jing-Zhi Guo, Jun-Wei Jin. An improved improved Id3 algorithm for medical data classification[J]. COMPUTERS & ELECTRICAL ENGINEERING, 2018, 65, 474-487.
Authors:  Shuo Yang;  Jing-Zhi Guo;  Jun-Wei Jin
Favorite | TC[WOS]:44 TC[Scopus]:65  IF:4.0/3.8 | Submit date：2018/10/30
Id3 Algorithm  Decision Tree  Balance Function  Numeric Attribute Discretization  Rule Representation Of Classifier Model  
An improved Id3 algorithm for medical data classification Journal article
Yang,Shuo, Guo,Jing Zhi, Jin,Jun Wei. An improved Id3 algorithm for medical data classification[J]. Computers and Electrical Engineering, 2018, 65, 474-487.
Authors:  Yang,Shuo;  Guo,Jing Zhi;  Jin,Jun Wei
Favorite | TC[WOS]:44 TC[Scopus]:65  IF:4.0/3.8 | Submit date：2021/03/11
Balance Function  Decision Tree  Id3 Algorithm  Numeric Attribute Discretization  Rule Representation Of Classifier Model  
Fast algorithms for high-order numerical methods for space-fractional diffusion equations Journal article
Lei, Siu-Long, Huang, Yun-Chi. Fast algorithms for high-order numerical methods for space-fractional diffusion equations[J]. INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, 2017, 94(5), 1062-1078.
Authors:  Lei, Siu-Long;  Huang, Yun-Chi
Favorite | TC[WOS]:34 TC[Scopus]:36  IF:1.7/1.5 | Submit date：2018/10/30
Fractional Diffusion Equation  Fourth-order Discretization  Boundary Value Method  Crank-nicolson Preconditioner  Block-circulant Preconditioner  Gmres Method  Circulant- And Skew-circulant Representation Of Toeplitz Matrix Inversion  
Preconditioned iterative methods for fractional diffusion models in finance Journal article
Qing-Jiang Meng, Deng Ding, Qin Sheng. Preconditioned iterative methods for fractional diffusion models in finance[J]. NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS, 2014, 31(5), 1382-1395.
Authors:  Qing-Jiang Meng;  Deng Ding;  Qin Sheng
Favorite | TC[WOS]:18 TC[Scopus]:21  IF:2.1/2.8 | Submit date：2019/05/22
Crank-nicolson Discretization  Fast Fourier Transform  Fractional Partial Derivatives  Lévy Process  Preconditioning Method  Toeplitz Matrix  
How to catch smoothing properties and analyticity of functions by computers? Book
Castro L.P., Fujiwara H., Qian T., Saitoh S.. How to catch smoothing properties and analyticity of functions by computers?[M]. Berlin, Germany:Springer, 2014, 101-116.
Authors:  Castro L.P.;  Fujiwara H.;  Qian T.;  Saitoh S.
Favorite | TC[Scopus]:4 | Submit date：2019/02/11
Analyticity  Aveiro Discretization  Band Preserving  Multiplyprecision  Numerical Experiment  Phase Retrieval  Reproducing Kernel  Sobolev Space  
A supportive attribute-assisted discretization model for medical classification Conference paper
Wong D.F., Chao L.S., Zeng X.D.. A supportive attribute-assisted discretization model for medical classification[C], 2014, 289-295.
Authors:  Wong D.F.;  Chao L.S.;  Zeng X.D.
Favorite | TC[WOS]:5 TC[Scopus]:5 | Submit date：2018/12/24
Bioinformatics  Data Preprocessing  Discretization  Medical Classification  Supportive Attribute Interdependence