nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
AMORPH: A statistical program for characterizing amorphous materials by X-ray diffraction
|
Rowe, Michael C. |
|
2018 |
120 |
C |
p. 21-31 |
artikel |
2 |
An automatic methodology for analyzing sorting level of rock particles
|
Shu, Lei |
|
2018 |
120 |
C |
p. 97-104 |
artikel |
3 |
An automatic variogram modeling method with high reliability fitness and estimates
|
Li, Zhanglin |
|
2018 |
120 |
C |
p. 48-59 |
artikel |
4 |
Bridging the information gap of disaster responders by optimizing data selection using cost and quality
|
van den Homberg, Marc |
|
2018 |
120 |
C |
p. 60-72 |
artikel |
5 |
Forward modeling of gravity anomalies based on cell mergence and parallel computing
|
Chen, Tao |
|
2018 |
120 |
C |
p. 1-9 |
artikel |
6 |
GCH_gravinv: A MATLAB-based program for inverting gravity anomalies over sedimentary basins
|
Pham, Luan Thanh |
|
2018 |
120 |
C |
p. 40-47 |
artikel |
7 |
Geochemical property modelling of a potential shale reservoir in the Canning Basin (Western Australia), using Artificial Neural Networks and geostatistical tools
|
Johnson, Lukman Mobolaji |
|
2018 |
120 |
C |
p. 73-81 |
artikel |
8 |
HydroSedFoam: A new parallelized two-dimensional hydrodynamic, sediment transport, and bed morphology model
|
Zhu, Zhenduo |
|
2018 |
120 |
C |
p. 32-39 |
artikel |
9 |
OpenHVSR - Processing toolkit: Enhanced HVSR processing of distributed microtremor measurements and spatial variation of their informative content
|
Bignardi, Samuel |
|
2018 |
120 |
C |
p. 10-20 |
artikel |
10 |
Robustness of Extreme Learning Machine in the prediction of hydrological flow series
|
Atiquzzaman, Md |
|
2018 |
120 |
C |
p. 105-114 |
artikel |
11 |
Towards justifying unsupervised stationary decisions for geostatistical modeling: Ensemble spatial and multivariate clustering with geomodeling specific clustering metrics
|
Martin, Ryan |
|
2018 |
120 |
C |
p. 82-96 |
artikel |