408 results on '"Uncertainty quantification"'
Search Results
2. An ensemble-based efficient iterative method for uncertainty quantification of partial differential equations with random inputs
3. Gaussian process regression + deep neural network autoencoder for probabilistic surrogate modeling in nonlinear mechanics of solids
4. Structural response reconstruction using a system-equivalent singular vector basis
5. A machine-learning enabled framework for quantifying uncertainties in parameters of computational models
6. An uncertainty quantification and accuracy enhancement method for deep regression prediction scenarios
7. Probabilistic machine learning pipeline using topological descriptors for real-time state estimation of high-rate dynamic systems
8. Risk-aware classification via uncertainty quantification
9. A probabilistic machine learning framework for daily extreme events forecasting
10. Integrated geophysical data and Bayesian evidential learning approach for rockhead estimation and uncertainty quantification
11. On the feasibility of an ensemble multi-fidelity neural network for fast data assimilation for subsurface flow in porous media
12. Uncertainty quantification of residual strength post lightning strike: A coupled stochastic thermal–electrical–mechanical simulation framework for composite laminates
13. Deep uncertainty quantification algorithms for confidence-aware hope classification of breast cancer patients based on their cognitive features
14. Data space inversion for efficient predictions and uncertainty quantification for geothermal models
15. Probabilistic eddy identification with uncertainty quantification
16. Conditional value at risk for damage identification in structural digital twins
17. Data-driven upper bounds and event attribution for unprecedented heatwaves
18. Sensitivity analysis and uncertainty quantification of neutron noise simulations in WWER-type reactors using machine learning-based surrogate models
19. Neural information field filter
20. A learning-based robust optimization framework for synchromodal freight transportation under uncertainty
21. Learning implicit yield surface models with uncertainty quantification for noisy datasets
22. Leveraging interpolation models and error bounds for verifiable scientific machine learning
23. Sensitivity analysis and uncertainty quantification of climate change effects on Tanzanian banana crop yield
24. Bayesian calibration and uncertainty quantification for a large nutrient load impact model
25. Uncertainty quantification of effective mechanical characteristics of hexagonal cellular material
26. Enhancing robustness in machine-learning-accelerated molecular dynamics: A multi-model nonparametric probabilistic approach
27. A multi-analysis framework for uncertainty quantification and data-driven simulation of design allowables in laminated composites
28. Physics descriptors enhanced Bayesian learning method for permeability of random media under sparse data
29. Boosting efficiency and reducing graph reliance: Basis adaptation integration in Bayesian multi-fidelity networks
30. Transdimensional joint inversion of flow and well log data using a cascaded Metropolis sampler on a layer-cake model
31. A hybrid polynomial chaos expansion – Gaussian process regression method for Bayesian uncertainty quantification and sensitivity analysis
32. Augmenting post-hoc explanations for predictive process monitoring with uncertainty quantification via conformalized Monte Carlo dropout
33. Implementation of real-time incremental learning for ensemble hybrid model prediction in pilot scale bubble column aeration
34. Data-driven structural identification of nonlinear assemblies: Uncertainty Quantification
35. Quantifying learning algorithm uncertainties in autonomous driving systems: Enhancing safety through Polynomial Chaos Expansion and High Definition maps
36. Seismic fragility analysis of slopes: Method development, practical application and future prospects
37. Bayesian deep learning for uncertainty quantification and prediction of jet grout column diameter
38. Permittivity measurement with uncertainty quantification in cement-based composites using ENNreg-ANet and high-frequency electromagnetic waves
39. Uncertainties in phase-field fracture simulations of a 4-point bending experiment
40. An innovative sustainable multi-energy management framework for full renewable grid-tied microgrids under the transactive energy paradigm
41. Assessment of liquid piston compression efficiency through uncertainty analysis based on experimental measurements and 0D system modeling
42. The Bayesian pattern search, a deterministic acceleration of Bayesian model updating in structural health monitoring
43. Polymorphic uncertainty field quantification in structural analysis with machine learning assistance
44. Multi-fidelity Bayesian neural networks for aerodynamic data fusion with heterogeneous uncertainties
45. Towards Gaussian Process for operator learning: An uncertainty aware resolution independent operator learning algorithm for computational mechanics
46. Temporal CNN-based 72-h ozone forecasting in South Korea: Explainability and uncertainty quantification
47. Uncertainty quantification for DeepONets with ensemble Kalman inversion
48. Graph Laplacian-based Bayesian multi-fidelity modeling
49. Bayesian approach for uncertainty quantification in elastic wave tomography of concrete structures
50. Learning latent space dynamics with model-form uncertainties: A stochastic reduced-order modeling approach
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