Results 211 to 220 of about 22,976 (267)

Deriving phenotype-representative left ventricular flow patterns by reduced-order modeling and classification. [PDF]

Comput Biol Med
Borja MG, Martinez-Legazpi P, Nguyen C, Flores O, Kahn AM, Bermejo J, Del Álamo JC.   +6 more
europepmc   +1 more source

Generative adversarial reduced order modelling. [PDF]

Sci Rep
Coscia D, Demo N, Rozza G.
europepmc   +1 more source

A Generalized Fisher Discriminant Analysis with Adaptive Entropic Regularization for Cross-Model Vibration State Monitoring in Wind Tunnels. [PDF]

Sensors (Basel)
Li Z, Li Z, Chen X, Lin H.
europepmc   +1 more source

Experimental Study of Flame Dynamics in a Triple-Injector Swirling Nonpremixed Combustor Under Different Thermoacoustic Self-Excited Instability Modes. [PDF]

Sensors (Basel)
Zhang X, Wang S, Liu Y.
europepmc   +1 more source

A convolutional neural network-long short-term memory (CNN-LSTM)-Attention model based on wavelet transform for predicting non-stationary wind pressure coefficients on the surface of terminal glass curtain wall. [PDF]

Sci Prog
Bao Y, Pei C, Mou Y, Li M, Cheng X.
europepmc   +1 more source

Geometry Reduced Order Modeling (GROM) with application to modeling of glymphatic function.

Brain Res Bull
Solheim A, Ringstad G, Eide PK, Mardal KA.   +3 more
europepmc   +1 more source

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Exploring hidden flow structures from sparse data through deep-learning-strengthened proper orthogonal decomposition

The Physics of Fluids, 2023
Proper orthogonal decomposition (POD) enables complex flow fields to be decomposed into linear modes according to their energy, allowing the key features of the flow to be extracted.
Chang Yan, Shengfeng Xu, Zhenxu Sun, D. Guo, Shengjun Ju, Renfang Huang, Guowei Yang   +6 more
semanticscholar   +1 more source

Intelligent flow field reconstruction based on proper orthogonal decomposition dimensionality reduction and improved multi-branch convolution fusion

The Physics of Fluids, 2023
The rapid and accurate reconstruction of the supersonic combustor flow field is of great significance for sensing and predicting the combustion state. Existing deep learning methods pay less attention to the convergence speed of flow field reconstruction,
Maotao Yang, Gang Wang, Mingming Guo, Ye Tian, Zhiwen Zhong, Mengqi Xu, Linjing Li, Jialing Le, Hua Zhang   +8 more
semanticscholar   +1 more source

Information sharing-based multivariate proper orthogonal decomposition

The Physics of Fluids, 2023
This study explores challenges in multivariate modal decomposition for various flow scenarios, emphasizing the problem of inconsistent physical modes in Proper Orthogonal Decomposition (POD).
Zihao Wang, Guiyong Zhang, T. Sun, Huakun Huang   +3 more
semanticscholar   +1 more source

Investigation of the mechanism of unsteady flow induced by cavitation at the tongue of a centrifugal pump based on the proper orthogonal decomposition method

The Physics of Fluids, 2022
To investigate the unsteady evolution characteristics and mechanism of cavitation at the tongue and its influence on the flow field in a centrifugal pump, numerical calculations were performed to research the occurrence and development of cavitation at ...
Jiaxing Lu, Feng Wu, Xiaobing Liu, B. Zhu, S. Yuan, J. Wang   +5 more
semanticscholar   +1 more source