Pages that link to "Item:Q5161377"

The following pages link to Data-Driven, Physics-Based Feature Extraction from Fluid Flow Fields using Convolutional Neural Networks (Q5161377):

Displaying 17 items.

• A CNN-based shock detection method in flow visualization (Q1739782) (← links)
• Development of an algorithm for reconstruction of droplet history based on deposition pattern using computational fluid dynamics and convolutional neural network (Q2021070) (← links)
• Nonlinear Laplacian spectral analysis of Rayleigh-Bénard convection (Q2375201) (← links)
• Machine Learning for Fluid Mechanics (Q3296524) (← links)
• A Tailored Convolutional Neural Network for Nonlinear Manifold Learning of Computational Physics Data Using Unstructured Spatial Discretizations (Q5005016) (← links)
• Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations (Q5023414) (← links)
• Interpreted machine learning in fluid dynamics: explaining relaminarisation events in wall-bounded shear flows (Q5077267) (← links)
• MOD-Net: A Machine Learning Approach via Model-Operator-Data Network for Solving PDEs (Q5106291) (← links)
• Using machine learning to detect the turbulent region in flow past a circular cylinder (Q5131422) (← links)
• Better Approximations of High Dimensional Smooth Functions by Deep Neural Networks with Rectified Power Units (Q5162006) (← links)
• Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks (Q5162358) (← links)
• A Multi-Scale DNN Algorithm for Nonlinear Elliptic Equations with Multiple Scales (Q5162363) (← links)
• Multi-Scale Deep Neural Network (MscaleDNN) for Solving Poisson-Boltzmann Equation in Complex Domains (Q5162368) (← links)
• Construction of reduced-order models for fluid flows using deep feedforward neural networks (Q5235633) (← links)
• Data-driven prediction of unsteady flow over a circular cylinder using deep learning (Q5235730) (← links)
• Nonlinear mode decomposition with convolutional neural networks for fluid dynamics (Q5243565) (← links)
• Fluid Flow Modelling Using Physics-Informed Convolutional Neural Network in Parametrised Domains (Q6092912) (← links)