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Chapter and Conference Paper
LSTM-DAM: Malicious Network Traffic Prediction for Cloud Manufacturing System
With the rapid development of Internet of Things (IoT), the applications of cloud manufacturing system are growing dramatically, resulting in increasing network heterogeneity and complexity. Network traffic pr...
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Chapter and Conference Paper
A Specialized Probability Density Function for the Input of Mixture of Gaussian Processes
Mixture of Gaussian Processes (MGP) is a generative model being powerful and widely used in the fields of machine learning and data mining. However, when we learn this generative model on a given dataset, we s...
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Chapter and Conference Paper
An Effective Model Selection Criterion for Mixtures of Gaussian Processes
The Mixture of Gaussian Processes (MGP) is a powerful statistical learning framework in machine learning. For the learning of MGP on a given dataset, it is necessary to solve the model selection problem, i.e.,...
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Article
Numerical investigation on the effects of re-organized shock waves on the flow separation for a highly-loaded transonic compressor cascade
This paper presents a detailed numerical investigation of the influence of re-organized shock waves on the flow separation for a highly-loaded transonic compressor cascade. The boundary layer suction (BLS) was...