Conditional Generative Adversarial Networks for Multivariate Gaussian Subsurface Modeling: How Good Are They?
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- Mathematical Geosciences, 2025, v. 57, n. 4, p. 733, doi. 10.1007/s11004-025-10176-7
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- Article
Works matching IS 18748961 AND DT 2025 AND VI 57 AND IP 4
Results: 6
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Tracing Sedimentary Origins in Multivariate Geochronology via Constrained Tensor Factorization.
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- Mathematical Geosciences, 2025, v. 57, n. 4, p. 601, doi. 10.1007/s11004-024-10175-0
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- Article
3
Advanced Permeability Prediction Through Two-Dimensional Geological Feature Image Extraction with CNN Regression from Well Logs Data.
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- Mathematical Geosciences, 2025, v. 57, n. 4, p. 657, doi. 10.1007/s11004-024-10171-4
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- Article
4
Mineral Prospectivity Mapping Based on a Novel Self-Ensembling Graph Convolutional Network.
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- Mathematical Geosciences, 2025, v. 57, n. 4, p. 629, doi. 10.1007/s11004-024-10170-5
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- Article
5
Towards a Synergistic Progressive Ensemble Framework for Automatic Post-Earthquake Landslide Recognition and Susceptibility Assessment.
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- Mathematical Geosciences, 2025, v. 57, n. 4, p. 703, doi. 10.1007/s11004-024-10168-z
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- Article
6
Multi-station Joint Runoff Forecasting Using Graph Neural Network Coupled with Spatial Connectivity of Hydrological Stations.
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- Mathematical Geosciences, 2025, v. 57, n. 4, p. 759, doi. 10.1007/s11004-024-10167-0
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- Publication type:
- Article