nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A deep learning-based parametric inversion for forecasting water-filled bodies position using electromagnetic method
|
Gan, Lu |
|
|
197 |
C |
p. |
artikel |
2 |
Analysis of earthquake detection using deep learning: Evaluating reliability and uncertainty in prediction methods
|
Gamboa-Chacón, Sebastián |
|
|
197 |
C |
p. |
artikel |
3 |
An improved general method for measuring pore size distribution with digital images of porous media
|
Song, Shuaibing |
|
|
197 |
C |
p. |
artikel |
4 |
Data space inversion for efficient predictions and uncertainty quantification for geothermal models
|
de Beer, Alex |
|
|
197 |
C |
p. |
artikel |
5 |
Edge-guided segmentation of digital rock images: Integrating a pretrained edge aware path with the main segmentation path
|
Wang, Ziqiang |
|
|
197 |
C |
p. |
artikel |
6 |
Editorial Board
|
|
|
|
197 |
C |
p. |
artikel |
7 |
For any two arbitrary slices from one digital rock, its twins can be fast stably reconstructed: A novel integrated model of RVION with ADA-PGGAN
|
Zhang, Yingqi |
|
|
197 |
C |
p. |
artikel |
8 |
GPR-FWI-Py: Open-source Python software for multi-scale regularized full waveform inversion in Ground Penetrating Radar using random excitation sources
|
Wang, Xiangyu |
|
|
197 |
C |
p. |
artikel |
9 |
Hybrid Newton method for the acceleration of well event handling in the simulation of CO2 storage using supervised learning
|
Lechevallier, Antoine |
|
|
197 |
C |
p. |
artikel |
10 |
Hyperspectral image classification based on faster residual multi-branch spiking neural network
|
Li, Yahui |
|
|
197 |
C |
p. |
artikel |
11 |
Indications of abundant off-axis activity at the east Pacific rise, 9°50’ N, using a machine learning “chimney identification tool”
|
Keohane, Isaac |
|
|
197 |
C |
p. |
artikel |
12 |
Intelligent veins recognition method for slope rock mass geological images in complex background noise
|
Wen-jing, Niu |
|
|
197 |
C |
p. |
artikel |
13 |
Synthetic seismic data generation with pix2pix for enhanced fault detection model training
|
Choi, Byunghoon |
|
|
197 |
C |
p. |
artikel |