| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A locally conservative mixed finite element framework for coupled hydro-mechanical–chemical processes in heterogeneous porous media
|
Kadeethum, T.
|
|
|
152 |
C |
p.
|
artikel
|
| 2 |
Application of deep learning for semantic segmentation of sandstone thin sections
|
Saxena, Nishank
|
|
|
152 |
C |
p.
|
artikel
|
| 3 |
Deep generative models in inversion: The impact of the generator's nonlinearity and development of a new approach based on a variational autoencoder
|
Lopez-Alvis, Jorge
|
|
|
152 |
C |
p.
|
artikel
|
| 4 |
Determination of the elastic parameters of a VTI medium from sonic logging data using deep learning
|
Bazulin, Maksim
|
|
|
152 |
C |
p.
|
artikel
|
| 5 |
Empirical subspace detection applied to triggered seismicity by the July 25, 2011, M w 5.0 earthquake in the Sea of Marmara, Turkey
|
De La Hoz, Camilo
|
|
|
152 |
C |
p.
|
artikel
|
| 6 |
Imputation of missing well log data by random forest and its uncertainty analysis
|
Feng, Runhai
|
|
|
152 |
C |
p.
|
artikel
|
| 7 |
Numerical modelling of deep coaxial borehole heat exchangers in the Cheshire Basin, UK
|
Brown, Christopher S.
|
|
|
152 |
C |
p.
|
artikel
|
| 8 |
pyRiverBed: A Python framework to generate synthetic riverbed topography for constant-width meandering rivers
|
Li, Zhi
|
|
|
152 |
C |
p.
|
artikel
|
| 9 |
Rock thin sections identification based on improved squeeze-and-Excitation Networks model
|
Ma, He
|
|
|
152 |
C |
p.
|
artikel
|
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