Uncertainty quantification for Multiphase-CFD simulations of bubbly flows: a machine learning-based Bayesian approach supported by high-resolution experiments.
Yang LiuDewei WangXiaodong SunYang LiuNam DinhRui HuPublished in: Reliab. Eng. Syst. Saf. (2021)
Keyphrases
- machine learning
- high resolution
- low resolution
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- handling uncertainty
- machine learning algorithms
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- level set
- image processing
- computational intelligence
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- explanation based learning
- field of view
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- satellite images
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- learning systems
- inherent uncertainty
- knowledge acquisition
- pattern recognition
- natural language
- text classification
- reinforcement learning
- high resolution images
- level set method
- computer science
- uncertain data
- feature selection
- active learning
- information extraction
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- supervised learning
- computer vision
- natural language processing
- knowledge representation
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- support vector machine
- learning algorithm
- artificial intelligence
- video sequences
- simulation environment
- probability theory
- data mining