| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A combined deep CNN-RNN network for rainfall-runoff modelling in Bardha Watershed, India
|
Shekar, Padala Raja
|
|
|
5 |
C |
p.
|
artikel
|
| 2 |
A 3D convolutional neural network model with multiple outputs for simultaneously estimating the reactive transport parameters of sandstone from its CT images
|
Fu, Haiying
|
|
|
5 |
C |
p.
|
artikel
|
| 3 |
Application of ChatGPT in soil science research and the perceptions of soil scientists in Indonesia
|
Cahyana, Destika
|
|
|
5 |
C |
p.
|
artikel
|
| 4 |
ASTER data processing and fusion for alteration minerals and silicification detection: Implications for cupriferous mineralization exploration in the western Anti-Atlas, Morocco
|
Hajaj, Soufiane
|
|
|
5 |
C |
p.
|
artikel
|
| 5 |
Benchmarking data handling strategies for landslide susceptibility modeling using random forest workflows
|
Samodra, Guruh
|
|
|
5 |
C |
p.
|
artikel
|
| 6 |
Enhanced permeability prediction in porous media using particle swarm optimization with multi-source integration
|
Chen, Zhiping
|
|
|
5 |
C |
p.
|
artikel
|
| 7 |
Enhancing economic sustainability in mature oil fields: Insights from the clustering approach to select candidate wells for extended shut-in
|
Lobut, B.
|
|
|
5 |
C |
p.
|
artikel
|
| 8 |
EQGraphNet: Advancing single-station earthquake magnitude estimation via deep graph networks with residual connections
|
Wang, Zhiguo
|
|
|
5 |
C |
p.
|
artikel
|
| 9 |
Exploring emerald global geochemical provenance through fingerprinting and machine learning methods
|
Alonso-Perez, Raquel
|
|
|
5 |
C |
p.
|
artikel
|
| 10 |
Forecast future disasters using hydro-meteorological datasets in the Yamuna river basin, Western Himalaya: Using Markov Chain and LSTM approaches
|
Chauhan, Pankaj
|
|
|
5 |
C |
p.
|
artikel
|
| 11 |
Fully invertible hyperbolic neural networks for segmenting large-scale surface and sub-surface data
|
Peters, Bas
|
|
|
5 |
C |
p.
|
artikel
|
| 12 |
High-resolution seismic inversion method based on joint data-driven in the time-frequency domain
|
Liu, Yu
|
|
|
5 |
C |
p.
|
artikel
|
| 13 |
Locally varying geostatistical machine learning for spatial prediction
|
Fouedjio, Francky
|
|
|
5 |
C |
p.
|
artikel
|
| 14 |
Pore size classification and prediction based on distribution of reservoir fluid volumes utilizing well logs and deep learning algorithm in a complex lithology
|
Bagheri, Hassan
|
|
|
5 |
C |
p.
|
artikel
|
| 15 |
Prediction of seismic-induced bending moment and lateral displacement in closed and open-ended pipe piles: A genetic programming approach
|
Sadik, Laith
|
|
|
5 |
C |
p.
|
artikel
|
| 16 |
Reconstruction of lithofacies using a supervised Self-Organizing Map: Application in pseudo-wells based on a synthetic geologic cross-section
|
V.R., Carreira
|
|
|
5 |
C |
p.
|
artikel
|
| 17 |
Research on the prediction method for fluvial-phase sandbody connectivity based on big data analysis--a case study of Bohai a oilfield
|
Li, Cai
|
|
|
5 |
C |
p.
|
artikel
|
| 18 |
Reservoir evaluation using petrophysics informed machine learning: A case study
|
Shao, Rongbo
|
|
|
5 |
C |
p.
|
artikel
|
| 19 |
Robust high frequency seismic bandwidth extension with a deep neural network trained using synthetic data
|
Zwartjes, Paul
|
|
|
5 |
C |
p.
|
artikel
|
| 20 |
Thank you reviewers!
|
|
|
|
5 |
C |
p.
|
artikel
|
| 21 |
The 3-billion fossil question: How to automate classification of microfossils
|
Martinsen, Iver
|
|
|
5 |
C |
p.
|
artikel
|
| 22 |
The role of artificial intelligence and IoT in prediction of earthquakes: Review
|
Pwavodi, Joshua
|
|
|
5 |
C |
p.
|
artikel
|
| 23 |
Transfer learning for well logging formation evaluation using similarity weights
|
Xu, Binsen
|
|
|
5 |
C |
p.
|
artikel
|
| 24 |
Water resource forecasting with machine learning and deep learning: A scientometric analysis
|
Liu, Chanjuan
|
|
|
5 |
C |
p.
|
artikel
|
| 25 |
When linear inversion fails: Neural-network optimization for sparse-ray travel-time tomography of a volcanic edifice
|
Komeazi, Abolfazl
|
|
|
5 |
C |
p.
|
artikel
|
| 26 |
Wide & deep learning for predicting relative mineral compositions of sediment cores solely based on XRF scans, a case study from Pleistocene Paleolake Olduvai, Tanzania
|
Kodikara, Gayantha R.L.
|
|
|
5 |
C |
p.
|
artikel
|
Tijdschrift beschrijving