Found: 11
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A machine learning framework for rapid forecasting and history matching in unconventional reservoirs.
- Published in:
- Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-01023-w
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- Publication type:
- Article
Knowledge-Informed Deep Learning for Hydrological Model Calibration: An Application to Coal Creek Watershed in Colorado.
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- Hydrology & Earth System Sciences Discussions, 2022, p. 1, doi. 10.5194/hess-2022-282
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- Article
Integrating Soil Aggregate Chemical Imaging with Soil 3D Physical Structure through Multimodal Data Analysis.
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- Microscopy & Microanalysis, 2024, v. 30, p. 1, doi. 10.1093/mam/ozae044.246
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- Article
3D Biogeochemical Characterization of Intact Soil Structures.
- Published in:
- 2023
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- Publication type:
- Abstract
Machine Learning for Geothermal Resource Exploration in the Tularosa Basin, New Mexico.
- Published in:
- Energies (19961073), 2023, v. 16, n. 7, p. 3098, doi. 10.3390/en16073098
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- Article
Uncovering acoustic signatures of pore formation in laser powder bed fusion.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2024, v. 130, n. 5/6, p. 3103, doi. 10.1007/s00170-023-12771-6
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- Article
Deep learning with mixup augmentation for improved pore detection during additive manufacturing.
- Published in:
- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-63288-1
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- Publication type:
- Article
Knowledge-informed deep learning for hydrological model calibration: an application to Coal Creek Watershed in Colorado.
- Published in:
- Hydrology & Earth System Sciences, 2023, v. 27, n. 14, p. 2621, doi. 10.5194/hess-27-2621-2023
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- Publication type:
- Article
Machine learning to identify geologic factors associated with production in geothermal fields: a case-study using 3D geologic data, Brady geothermal field, Nevada.
- Published in:
- Geothermal Energy, 2021, v. 9, n. 1, p. 1, doi. 10.1186/s40517-021-00199-8
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- Article
Using Mutual Information for Global Sensitivity Analysis on Watershed Modeling.
- Published in:
- Water Resources Research, 2022, v. 58, n. 10, p. 1, doi. 10.1029/2022WR032932
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- Publication type:
- Article
Explore Spatio‐Temporal Learning of Large Sample Hydrology Using Graph Neural Networks.
- Published in:
- Water Resources Research, 2021, v. 57, n. 12, p. 1, doi. 10.1029/2021WR030394
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- Publication type:
- Article