Estimating properties of a homogeneous bounded soil using machine learning models
Fuente:
arXiv
Guardado en:
| Autores principales: | Kalimeris, Konstantinos, Mindrinos, Leonidas, Pallikarakis, Nikolaos |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Estimating parameters of the diffusion model via asymptotic expansions
por: Kalimeris, Konstantinos, et al.
Publicado: (2025)
por: Kalimeris, Konstantinos, et al.
Publicado: (2025)
Gas trap prediction from 3D seismic and well test data using machine learning
por: Ivlev, Dmitry
Publicado: (2024)
por: Ivlev, Dmitry
Publicado: (2024)
Enhancing lithological interpretation from petrophysical well log of IODP expedition 390/393 using machine learning
por: Sahu, Raj, et al.
Publicado: (2025)
por: Sahu, Raj, et al.
Publicado: (2025)
Rainfall infiltration: Direct and Inverse problems on a linear evolution equation
por: Kalimeris, Konstantinos, et al.
Publicado: (2024)
por: Kalimeris, Konstantinos, et al.
Publicado: (2024)
Wave scattering in 1D: D'Alembert-type representations and a reconstruction method
por: Kalimeris, Konstantinos, et al.
Publicado: (2023)
por: Kalimeris, Konstantinos, et al.
Publicado: (2023)
HydroStartML: A combined machine learning and physics-based approach to reduce hydrological model spin-up time
por: Pawusch, Louisa, et al.
Publicado: (2025)
por: Pawusch, Louisa, et al.
Publicado: (2025)
An analytical solution for vertical infiltration in bounded profiles
por: Argyrokastritis, Ioannis, et al.
Publicado: (2024)
por: Argyrokastritis, Ioannis, et al.
Publicado: (2024)
Physics-informed extreme learning machine for Terzaghi consolidation problems and interpretation of coefficient of consolidation based on CPTu data
por: Yang, He, et al.
Publicado: (2025)
por: Yang, He, et al.
Publicado: (2025)
Inspired by machine learning optimization: can gradient-based optimizers solve cycle skipping in full waveform inversion given sufficient iterations?
por: Mu, Xinru, et al.
Publicado: (2025)
por: Mu, Xinru, et al.
Publicado: (2025)
Multi-frequency wavefield solutions for variable velocity models using meta-learning enhanced low-rank physics-informed neural network
por: Cheng, Shijun, et al.
Publicado: (2025)
por: Cheng, Shijun, et al.
Publicado: (2025)
Inverse Electromagnetic Scattering for Doubly-Connected Cylinders using Convolutional Neural Networks
por: Mindrinos, Leonidas, et al.
Publicado: (2025)
por: Mindrinos, Leonidas, et al.
Publicado: (2025)
A finite element-based machine learning model for hydro-mechanical analysis of swelling behavior in clay-sulfate rocks
por: Taherdangkoo, Reza, et al.
Publicado: (2025)
por: Taherdangkoo, Reza, et al.
Publicado: (2025)
SeisT: A foundational deep learning model for earthquake monitoring tasks
por: Li, Sen, et al.
Publicado: (2023)
por: Li, Sen, et al.
Publicado: (2023)
Assessing the risk of future Dunkelflaute events for Germany using generative deep learning
por: Strnad, Felix, et al.
Publicado: (2025)
por: Strnad, Felix, et al.
Publicado: (2025)
Integrating Newton's Laws with deep learning for enhanced physics-informed compound flood modelling
por: Radfar, Soheil, et al.
Publicado: (2025)
por: Radfar, Soheil, et al.
Publicado: (2025)
Domain-informed explainable boosting machines for trustworthy lateral spread predictions
por: Hsiao, Cheng-Hsi, et al.
Publicado: (2026)
por: Hsiao, Cheng-Hsi, et al.
Publicado: (2026)
Machine learning surrogates for efficient hydrologic modeling: Insights from stochastic simulations of managed aquifer recharge
por: Dai, Timothy, et al.
Publicado: (2024)
por: Dai, Timothy, et al.
Publicado: (2024)
Controllable seismic velocity synthesis using generative diffusion models
por: Wang, Fu, et al.
Publicado: (2024)
por: Wang, Fu, et al.
Publicado: (2024)
Application of machine learning regression models to inverse eigenvalue problems
por: Pallikarakis, Nikolaos, et al.
Publicado: (2022)
por: Pallikarakis, Nikolaos, et al.
Publicado: (2022)
Direct Estimation of Porosity from Seismic Data using Rock and Wave Physics Informed Neural Networks (RW-PINN)
por: Vashisth, Divakar, et al.
Publicado: (2022)
por: Vashisth, Divakar, et al.
Publicado: (2022)
Diffusion priors enhanced velocity model building from time-lag images using a neural operator
por: Ma, Xiao, et al.
Publicado: (2025)
por: Ma, Xiao, et al.
Publicado: (2025)
Geological and Well prior assisted full waveform inversion using conditional diffusion models
por: Wang, Fu, et al.
Publicado: (2024)
por: Wang, Fu, et al.
Publicado: (2024)
Combined mechanistic and machine learning method for construction of oil reservoir permeability map consistent with well test measurements
por: Kanin, E. A., et al.
Publicado: (2022)
por: Kanin, E. A., et al.
Publicado: (2022)
On the role of memorization in learned priors for geophysical inverse problems
por: Siahkoohi, Ali, et al.
Publicado: (2026)
por: Siahkoohi, Ali, et al.
Publicado: (2026)
A stable deep adversarial learning approach for geological facies generation
por: Bhavsar, Ferdinand, et al.
Publicado: (2023)
por: Bhavsar, Ferdinand, et al.
Publicado: (2023)
Distinct hydrologic response patterns and trends worldwide revealed by physics-embedded learning
por: Ji, Haoyu, et al.
Publicado: (2025)
por: Ji, Haoyu, et al.
Publicado: (2025)
Machine learning enhanced data assimilation framework for multiscale carbonate rock characterization
por: Bo, Zhenkai, et al.
Publicado: (2026)
por: Bo, Zhenkai, et al.
Publicado: (2026)
In-context learning enables continental-scale subsurface temperature prediction from sparse local observations
por: O'Malley, Daniel, et al.
Publicado: (2026)
por: O'Malley, Daniel, et al.
Publicado: (2026)
Seismic event classification with a lightweight Fourier Neural Operator model
por: Abdullin, Ayrat, et al.
Publicado: (2025)
por: Abdullin, Ayrat, et al.
Publicado: (2025)
EarthPT: a time series foundation model for Earth Observation
por: Smith, Michael J., et al.
Publicado: (2023)
por: Smith, Michael J., et al.
Publicado: (2023)
Physics-Informed Linear Model (PILM): Analytical Representations and Application to Crustal Strain Rate Estimation
por: Okazaki, Tomohisa
Publicado: (2025)
por: Okazaki, Tomohisa
Publicado: (2025)
Knowledge distillation as a pathway toward next-generation intelligent ecohydrological modeling systems
por: Jiang, Long, et al.
Publicado: (2025)
por: Jiang, Long, et al.
Publicado: (2025)
Neural Negative Binomial Regression for Weekly Seismicity Forecasting: Per-Cell Dispersion Estimation and Tail Risk Assessment
por: Igilik, Alim
Publicado: (2026)
por: Igilik, Alim
Publicado: (2026)
Geophysical inverse problems with measurement-guided diffusion models
por: Ravasi, Matteo
Publicado: (2025)
por: Ravasi, Matteo
Publicado: (2025)
Data-driven modeling of time-domain induced polarization
por: Bérubé, Charles L., et al.
Publicado: (2021)
por: Bérubé, Charles L., et al.
Publicado: (2021)
A foundation model enpowered by a multi-modal prompt engine for universal seismic geobody interpretation across surveys
por: Gao, Hang, et al.
Publicado: (2024)
por: Gao, Hang, et al.
Publicado: (2024)
Kahramanmaras-Gaziantep, Turkiye Mw 7.8 Earthquake on February 6, 2023: Preliminary Report on Strong Ground Motion and Building Response Estimations
por: Papazafeiropoulos, George, et al.
Publicado: (2023)
por: Papazafeiropoulos, George, et al.
Publicado: (2023)
Bayesian geoacoustic inversion using mixture density network
por: Wu, Guoli, et al.
Publicado: (2020)
por: Wu, Guoli, et al.
Publicado: (2020)
Bayesian full waveform inversion with sequential surrogate model refinement
por: Meles, Giovanni Angelo, et al.
Publicado: (2025)
por: Meles, Giovanni Angelo, et al.
Publicado: (2025)
Parametric modeling of shear wave velocity profiles for the conterminous U.S
por: Sanger, Morgan D., et al.
Publicado: (2025)
por: Sanger, Morgan D., et al.
Publicado: (2025)
Ejemplares similares
-
Estimating parameters of the diffusion model via asymptotic expansions
por: Kalimeris, Konstantinos, et al.
Publicado: (2025) -
Gas trap prediction from 3D seismic and well test data using machine learning
por: Ivlev, Dmitry
Publicado: (2024) -
Enhancing lithological interpretation from petrophysical well log of IODP expedition 390/393 using machine learning
por: Sahu, Raj, et al.
Publicado: (2025) -
Rainfall infiltration: Direct and Inverse problems on a linear evolution equation
por: Kalimeris, Konstantinos, et al.
Publicado: (2024) -
Wave scattering in 1D: D'Alembert-type representations and a reconstruction method
por: Kalimeris, Konstantinos, et al.
Publicado: (2023)