Pages that link to "Item:Q1622858"
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The following pages link to Porous structure reconstruction using convolutional neural networks (Q1622858):
Displaying 10 items.
- Statistical characterization and reconstruction of heterogeneous microstructures using deep neural network (Q2020836) (← links)
- An end-to-end three-dimensional reconstruction framework of porous media from a single two-dimensional image based on deep learning (Q2021153) (← links)
- Reconstruction, optimization, and design of heterogeneous materials and media: basic principles, computational algorithms, and applications (Q2064257) (← links)
- Stochastic reconstruction of 3D microstructures from 2D cross-sectional images using machine learning-based characterization (Q2072752) (← links)
- Numerical modelling of reservoir at pore scale: a comprehensive review (Q2099732) (← links)
- Geological facies recovery based on weighted \(\ell_1\)-regularization (Q2198925) (← links)
- 3D pore space reconstruction using deep residual deconvolution networks (Q2240947) (← links)
- A deep-learning-based geological parameterization for history matching complex models (Q2323494) (← links)
- Reconstruction of Three-Dimensional Porous Media: Statistical or Deep Learning Approach? (Q4553862) (← links)
- Hierarchical reconstruction of 3D well-connected porous media from 2D exemplars using statistics-informed neural network (Q6094706) (← links)
