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Probabilistic Nuclear-Norm Matrix Regression Regularized by Random Graph Theory Journal article
Zhou, Jianhang, Li, Shuyi, Zeng, Shaoning, Zhang, Bob. Probabilistic Nuclear-Norm Matrix Regression Regularized by Random Graph Theory[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2024.
Authors:  Zhou, Jianhang;  Li, Shuyi;  Zeng, Shaoning;  Zhang, Bob
Favorite | TC[WOS]:1 TC[Scopus]:0  IF:5.3/5.7 | Submit date：2024/05/16
Adaptation Models  Bayes Methods  Computational Intelligence  Computational Intelligence  Graph Theory  Nuclear Magnetic Resonance  Nuclear-norm Matrix Regression  Probabilistic Logic  Probability Theory  Random Graph  Structural Information  Training  
Artificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases Book
Chang, Victor, Kaur, Harleen, Fong, Simon. Artificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases[M]. Switzerland:Springer, 2022.
Authors:  Chang, Victor;  Kaur, Harleen;  Fong, Simon
Favorite |  | Submit date：2022/08/31
Artificial Intelligence  Machine Learning  Intelligence Methods  Vision Intelligence  Coronavirus  Covid-19  Computational Intelligence  
Obesity-related communication in digital chinese news from ainland china, hong kong, and taiwan: Automated content analysis Journal article
Chang, Angela, Schulz, Peter Johannes, Jiao, Wen, Liu, Matthew Tingchi. Obesity-related communication in digital chinese news from ainland china, hong kong, and taiwan: Automated content analysis[J]. JMIR Public Health and Surveillance, 2021, 7(11).
Authors:  Chang, Angela;  Schulz, Peter Johannes;  Jiao, Wen;  Liu, Matthew Tingchi
Favorite | TC[WOS]:11 TC[Scopus]:10  IF:3.5/4.7 | Submit date：2021/12/08
Computational Content  Digital Research Methods  Gene Disorders  Noncommunicable Disease  Obesity Discourse  Public Health  
An adaptive finite element solver for demagnetization field calculation Journal article
Yang,Lei, Hu,Guanghui. An adaptive finite element solver for demagnetization field calculation[J]. Advances in Applied Mathematics and Mechanics, 2019, 11(5), 1048-1063.
Authors:  Yang,Lei;  Hu,Guanghui
Favorite | TC[WOS]:8 TC[Scopus]:8  IF:1.5/1.1 | Submit date：2021/03/11
Computational Micromagnetization  Demagnetization Field  Finite Element Methods  H-adaptive Methods  Single-layer Potential  
A Parallel Non-dimensional Lattice Boltzmann Simulation on Double Diffusion and Convection from Porous Structure Walls Conference paper
Yan Su, Tiniao Ng. A Parallel Non-dimensional Lattice Boltzmann Simulation on Double Diffusion and Convection from Porous Structure Walls[C], 2018, 1673-1678.
Authors:  Yan Su;  Tiniao Ng
Favorite | TC[Scopus]:0 | Submit date：2019/04/17
Convection  Computational Methods  Csgs  Ndlbm  Diffusion  
A parallel non-dimensional lattice Boltzmann simulation on double diffusion and convection from porous structure walls Conference paper
Su，Yan, Ng，Tiniao. A parallel non-dimensional lattice Boltzmann simulation on double diffusion and convection from porous structure walls[C], 2018, 1673-1678.
Authors:  Su，Yan;  Ng，Tiniao
Favorite | TC[Scopus]:0 | Submit date：2021/03/11
Computational methods  Convection  CSGS  Diffusion  NDLBM  
Interactive Fur Shaping and Rendering Using NonuniformLayered Textures Journal article
Gang Yang, Hanqiu Sun, Enhua Wu, Lifeng Wang. Interactive Fur Shaping and Rendering Using NonuniformLayered Textures[J]. IEEE Computer Graphics and Applications, 2008, 28(4), 85-93.
Authors:  Gang Yang;  Hanqiu Sun;  Enhua Wu;  Lifeng Wang
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:1.7/2.0 | Submit date：2019/02/13
Computational Modeling  Distance Measurement  Interactive Rendering  Lighting  Nonhomogeneous Media  Presses  Realistic Fur Synthesis  Shadow Mapping  Shadow Maps  Smoothing Methods  Textures