Water resource forecasting with machine learning and deep learning: A scientometric analysis.
- Published in:
- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100084
- By:
- Publication type:
- Article
Works matching IS 26665441 AND DT 2024 AND VI 5
Results: 25
1
2
Exploring emerald global geochemical provenance through fingerprinting and machine learning methods.
- Published in:
- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100085
- By:
- Publication type:
- Article
3
When linear inversion fails: Neural-network optimization for sparse-ray travel-time tomography of a volcanic edifice.
- Published in:
- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100086
- By:
- Publication type:
- Article
4
Research on the prediction method for fluvial-phase sandbody connectivity based on big data analysis--a case study of Bohai a oilfield.
- Published in:
- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100095
- By:
- Publication type:
- Article
5
Forecast future disasters using hydro-meteorological datasets in the Yamuna river basin, Western Himalaya: Using Markov Chain and LSTM approaches.
- Published in:
- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100069
- By:
- Publication type:
- Article
6
Wide & deep learning for predicting relative mineral compositions of sediment cores solely based on XRF scans, a case study from Pleistocene Paleolake Olduvai, Tanzania.
- Published in:
- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100088
- By:
- Publication type:
- Article
7
The 3-billion fossil question: How to automate classification of microfossils.
- Published in:
- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100080
- By:
- Publication type:
- Article
8
Reconstruction of lithofacies using a supervised Self-Organizing Map: Application in pseudo-wells based on a synthetic geologic cross-section.
- Published in:
- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100072
- By:
- Publication type:
- Article
9
Transfer learning for well logging formation evaluation using similarity weights.
- Published in:
- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100091
- By:
- Publication type:
- Article
10
The role of artificial intelligence and IoT in prediction of earthquakes: Review.
- Published in:
- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100075
- By:
- Publication type:
- Article
11
Prediction of seismic-induced bending moment and lateral displacement in closed and open-ended pipe piles: A genetic programming approach.
- Published in:
- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100076
- By:
- Publication type:
- Article
12
Robust high frequency seismic bandwidth extension with a deep neural network trained using synthetic data.
- Published in:
- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100071
- By:
- Publication type:
- Article
13
Reservoir evaluation using petrophysics informed machine learning: A case study.
- Published in:
- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100070
- By:
- Publication type:
- Article
14
High-resolution seismic inversion method based on joint data-driven in the time-frequency domain.
- Published in:
- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100083
- By:
- Publication type:
- Article
15
Fully invertible hyperbolic neural networks for segmenting large-scale surface and sub-surface data.
- Published in:
- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100087
- By:
- Publication type:
- Article
16
EQGraphNet: Advancing single-station earthquake magnitude estimation via deep graph networks with residual connections.
- Published in:
- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100089
- By:
- Publication type:
- Article
17
Pore size classification and prediction based on distribution of reservoir fluid volumes utilizing well logs and deep learning algorithm in a complex lithology.
- Published in:
- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100094
- By:
- Publication type:
- Article
18
Locally varying geostatistical machine learning for spatial prediction.
- Published in:
- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100081
- By:
- Publication type:
- Article
19
Enhancing economic sustainability in mature oil fields: Insights from the clustering approach to select candidate wells for extended shut-in.
- Published in:
- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100082
- By:
- Publication type:
- Article
20
Enhanced permeability prediction in porous media using particle swarm optimization with multi-source integration.
- Published in:
- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100090
- By:
- Publication type:
- Article
21
Benchmarking data handling strategies for landslide susceptibility modeling using random forest workflows.
- Published in:
- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100093
- By:
- Publication type:
- Article
22
ASTER data processing and fusion for alteration minerals and silicification detection: Implications for cupriferous mineralization exploration in the western Anti-Atlas, Morocco.
- Published in:
- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100077
- By:
- Publication type:
- Article
23
A 3D convolutional neural network model with multiple outputs for simultaneously estimating the reactive transport parameters of sandstone from its CT images.
- Published in:
- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100092
- By:
- Publication type:
- Article
24
Application of ChatGPT in soil science research and the perceptions of soil scientists in Indonesia.
- Published in:
- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100078
- By:
- Publication type:
- Article
25
A combined deep CNN-RNN network for rainfall-runoff modelling in Bardha Watershed, India.
- Published in:
- Artificial Intelligence in Geosciences, 2024, v. 5, p. 1, doi. 10.1016/j.aiig.2024.100073
- By:
- Publication type:
- Article