16 Papers
42 Citations
Bo Ma is an academic researcher from Beijing University of Chemical Technology. The author has contributed to research in topics: Computer science & Warning system. The author has an hindex of 5, co-authored 6 publications.
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Papers
Energy efficient building envelope using novel RBF neural network integrated affinity propagation
TL;DR: A novel radial basis function (RBF) based on affinity propagation (AP) clustering to evaluate the energy performance and save the energy of buildings and is applied in energy saving and emission reduction of construction industries.
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Fault monitoring using novel adaptive kernel principal component analysis integrating grey relational analysis
Yongming Han,Yongming Han,Trixi Meier,Pier Paolo Saviotti,Guangliang Song,Guangliang Song,Fenfen Liu,Fenfen Liu,Zhiqiang Geng,Zhiqiang Geng,Bo Ma,Wei Xu +11 more
TL;DR: In this article, a novel adaptive kernel principal component analysis (AKPCA) integrating grey relational analysis (GRA) was proposed to dynamically monitor the fault occurrence for complex nonlinear chemical processes.
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An asymmetric knowledge representation learning in manifold space
Yongming Han,Yongming Han,Guofei Chen,Guofei Chen,Zhongkun Li,Zhongkun Li,Zhiqiang Geng,Zhiqiang Geng,Fang Li,Fang Li,Bo Ma +10 more
TL;DR: The proposed asymmetric knowledge representation learning model in manifold space (MAKR) alleviates the asymmetry and imbalance of relations and the unsatisfactory precise prediction and has achieved better performance in both triple classification and link prediction tasks.
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Few-shot Fault Diagnosis method of Rotating Machinery Using Novel MCGM Based CNN
Gongye Yu,Peng Wu,Zhe Lv,Jijie Hou,Bo Ma,Yongxin Han +5 more
TL;DR: Wang et al. as mentioned in this paper proposed a novel intelligent few-shot fault diagnosis method of rotating machinery based on the convolutional neural network (CNN) using virtual samples generated by the mechanism character generative model (MCGM) integrating the generative adversarial network (GAN).
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