Synthetic shear sonic log generation utilizing hybrid machine learning techniques.
- Published in:
- Artificial Intelligence in Geosciences, 2022, v. 3, p. 53, doi. 10.1016/j.aiig.2022.09.001
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- Publication type:
- Article
Works matching IS 26665441 AND DT 2022 AND VI 3
Results: 20
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Machine learning in petrophysics: Advantages and limitations.
- Published in:
- Artificial Intelligence in Geosciences, 2022, v. 3, p. 157, doi. 10.1016/j.aiig.2022.11.004
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- Publication type:
- Article
3
ResGraphNet: GraphSAGE with embedded residual module for prediction of global monthly mean temperature.
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- Artificial Intelligence in Geosciences, 2022, v. 3, p. 148, doi. 10.1016/j.aiig.2022.11.001
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- Publication type:
- Article
4
Optimized feature selection assists lithofacies machine learning with sparse well log data combined with calculated attributes in a gradational fluvial sequence.
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- Artificial Intelligence in Geosciences, 2022, v. 3, p. 132, doi. 10.1016/j.aiig.2022.11.003
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- Publication type:
- Article
5
Near-surface velocity estimation using shear-waves and deep-learning with a U-net trained on synthetic data.
- Published in:
- Artificial Intelligence in Geosciences, 2022, v. 3, p. 209, doi. 10.1016/j.aiig.2023.01.001
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- Publication type:
- Article
6
MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning.
- Published in:
- Artificial Intelligence in Geosciences, 2022, v. 3, p. 101, doi. 10.1016/j.aiig.2022.09.002
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- Publication type:
- Article
7
Irregularly sampled seismic data interpolation via wavelet-based convolutional block attention deep learning.
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- Artificial Intelligence in Geosciences, 2022, v. 3, p. 192, doi. 10.1016/j.aiig.2022.12.001
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- Publication type:
- Article
8
PolarCAP -- A deep learning approach for first motion polarity classification of earthquake waveforms.
- Published in:
- Artificial Intelligence in Geosciences, 2022, v. 3, p. 46, doi. 10.1016/j.aiig.2022.08.001
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- Publication type:
- Article
9
Integrating the artificial intelligence and hybrid machine learning algorithms for improving the accuracy of spatial prediction of landslide hazards in Kurseong Himalayan Region.
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- Artificial Intelligence in Geosciences, 2022, v. 3, p. 14, doi. 10.1016/j.aiig.2022.06.002
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- Publication type:
- Article
10
High resolution pre-stack seismic inversion using few-shot learning.
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- Artificial Intelligence in Geosciences, 2022, v. 3, p. 203, doi. 10.1016/j.aiig.2022.12.004
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- Publication type:
- Article
11
Geostatistical semi-supervised learning for spatial prediction.
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- Artificial Intelligence in Geosciences, 2022, v. 3, p. 162, doi. 10.1016/j.aiig.2022.12.002
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- Publication type:
- Article
12
Estimation of the effectiveness of multi-criteria decision analysis and machine learning approaches for agricultural land capability in Gangarampur Subdivision, Eastern India.
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- Artificial Intelligence in Geosciences, 2022, v. 3, p. 179, doi. 10.1016/j.aiig.2022.12.003
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- Publication type:
- Article
13
Ensemble hybrid machine learning methods for gully erosion susceptibility mapping: K-fold cross validation approach.
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- Artificial Intelligence in Geosciences, 2022, v. 3, p. 28, doi. 10.1016/j.aiig.2022.07.001
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- Publication type:
- Article
14
Advanced geochemical exploration knowledge using machine learning: Prediction of unknown elemental concentrations and operational prioritization of Re-analysis campaigns.
- Published in:
- Artificial Intelligence in Geosciences, 2022, v. 3, p. 86, doi. 10.1016/j.aiig.2022.10.003
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- Publication type:
- Article
15
A study on small magnitude seismic phase identification using 1D deep residual neural network.
- Published in:
- Artificial Intelligence in Geosciences, 2022, v. 3, p. 115, doi. 10.1016/j.aiig.2022.10.002
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- Publication type:
- Article
16
A study on geological structure prediction based on random forest method.
- Published in:
- Artificial Intelligence in Geosciences, 2022, v. 3, p. 226, doi. 10.1016/j.aiig.2023.01.004
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- Publication type:
- Article
17
Artificial intelligence-based anomaly detection of the Assen iron deposit in South Africa using remote sensing data from the Landsat-8 Operational Land Imager.
- Published in:
- Artificial Intelligence in Geosciences, 2022, v. 3, p. 71, doi. 10.1016/j.aiig.2022.10.001
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- Publication type:
- Article
18
A new correlation for calculating wellhead oil flow rate using artificial neural network.
- Published in:
- Artificial Intelligence in Geosciences, 2022, v. 3, p. 1, doi. 10.1016/j.aiig.2022.04.001
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- Publication type:
- Article
19
Attenuation of seismic migration smile artifacts with deep learning.
- Published in:
- Artificial Intelligence in Geosciences, 2022, v. 3, p. 123, doi. 10.1016/j.aiig.2022.11.002
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- Publication type:
- Article
20
A convolutional recurrent neural network for strong convective rainfall nowcasting using weather radar data in Southeastern Brazil.
- Published in:
- Artificial Intelligence in Geosciences, 2022, v. 3, p. 8, doi. 10.1016/j.aiig.2022.06.001
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- Publication type:
- Article