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  • Predicting porosity, permeability, and tortuosity of porous media from images by deep learning

Description

  • Title: Predicting porosity, permeability, and tortuosity of porous media from images by deep learning
  • Journal title: Scientific Reports
  • Creator: Graczyk, Krzysztof ; Matyka, Maciej
  • Pages: s. 1-11
  • Date issued: 2020
  • Type: Tekst
  • Identifier: ISSN 2045-2322 ; https://doi.org/10.1038/s41598-020-78415-x
  • Language: eng
  • Has version: https://doi.org/10.1038/s41598-020-78415-x
  • License: CC BY
  • Detailed object type: art
  • Object type: Artykuł
  • Location: Vol. 10, iss. 1 (2020), nr art. 21488

The build of the Digital Demonstration Library was commissioned by the Name of the Institution of the Foundation's Institution. The Name of the Foundation under the Program, the Library Project and its creation under the patronage of the Name of the Institution.

Program Operacyjny Polska Cyfrowa
Rzeczpospolita Polska
Europejski Fundusz Rozwoju Regionalnego Unii Europejskiej
Biblioteka Uniwersytecka we Wrocławiu
Uniwersytet Wrocławski

The project titled "Workflow to develop digital publications at the university" co-financed by the European Union from the European Regional Development Fund.

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