nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A machine learning approach using legacy geophysical datasets to model Quaternary marine paleotopography
|
Obelcz, Jeffrey |
|
|
19 |
C |
p. |
artikel |
2 |
A practical approach for discriminating tectonic settings of basaltic rocks using machine learning
|
Nakamura, Kentaro |
|
|
19 |
C |
p. |
artikel |
3 |
3D hydrostratigraphic and hydraulic conductivity modelling using supervised machine learning
|
Tilahun, Tewodros |
|
|
19 |
C |
p. |
artikel |
4 |
Editorial Board
|
|
|
|
19 |
C |
p. |
artikel |
5 |
GeoSim: An R-package for plurigaussian simulation and Co-simulation between categorical and continuous variables
|
Valakas, George |
|
|
19 |
C |
p. |
artikel |
6 |
Geoweaver_cwl: Transforming geoweaver AI workflows to common workflow language to extend interoperability
|
Kale, Amruta |
|
|
19 |
C |
p. |
artikel |
7 |
Near surface sediments introduce low frequency noise into gravity models
|
Phelps, G.A. |
|
|
19 |
C |
p. |
artikel |
8 |
Python programs to apply regularized derivatives in the magnetic tilt derivative and gradient intensity data processing: A graphical procedure to choose the regularization parameter
|
Melo, Janaína Anjos |
|
|
19 |
C |
p. |
artikel |
9 |
Subsurface geometry of the Revell Batholith by constrained geophysical modelling, NW Ontario, Canada
|
Mushayandebvu, Martin |
|
|
19 |
C |
p. |
artikel |
10 |
Super-resolution in thin section of lacustrine shale reservoirs and its application in mineral and pore segmentation
|
Guo, Chao |
|
|
19 |
C |
p. |
artikel |
11 |
Uncertainties in 3-D stochastic geological modeling of fictive grain size distributions in detrital systems
|
Albarrán-Ordás, Alberto |
|
|
19 |
C |
p. |
artikel |