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Uncertainty quantification of the wall thickness and stiffness in an idealized dissected aorta
Uncertainty quantification of the wall thickness and stiffness in an idealized dissected aorta
Prediction of soil compaction parameters through the development and experimental validation of Gaussian process regression models
Prediction of soil compaction parameters through the development and experimental validation of Gaussian process regression models
Malleable Kernel Interpolation for Scalable Structured Gaussian Process
Malleable Kernel Interpolation for Scalable Structured Gaussian Process
Improving model-based control of a soft robot via gaussian process regression
Improving model-based control of a soft robot via gaussian process regression
Evaluating railway track stiffness using axle box accelerations
Evaluating railway track stiffness using axle box accelerations: A digital twin approach
Polynomial Chaos Expansion-Based Enhanced Gaussian Process Regression for Wind Velocity Field Estimation from Aircraft-Derived Data
Polynomial Chaos Expansion-Based Enhanced Gaussian Process Regression for Wind Velocity Field Estimation from Aircraft-Derived Data
Projecting basis functions with tensor networks for Gaussian process regression
Projecting basis functions with tensor networks for Gaussian process regression
Cascaded Calibration of Mechatronic Systems via Bayesian Inference
Cascaded Calibration of Mechatronic Systems via Bayesian Inference
Large-scale magnetic field maps using structured kernel interpolation for Gaussian process regression
Large-scale magnetic field maps using structured kernel interpolation for Gaussian process regression
Magnetic field SLAM
Magnetic field SLAM: using an inertial human motion suit and reduced rank Gaussian process regression
Predicting noise attenuation level in the earplugs using Gaussian Process Regression
Predicting noise attenuation level in the earplugs using Gaussian Process Regression
Bayesian system identification of civil engineering structures using high resolution optic fibre measurements and surrogate modelling
Bayesian system identification of civil engineering structures using high resolution optic fibre measurements and surrogate modelling
Contour Method with Uncertainty Quantification
Contour Method with Uncertainty Quantification: A Robust and Optimised Framework via Gaussian Process Regression
On the Estimation of Vector Wind Profiles Using Aircraft-Derived Data and Gaussian Process Regression
On the Estimation of Vector Wind Profiles Using Aircraft-Derived Data and Gaussian Process Regression
Machine Learning-Assisted probabilistic fatigue evaluation of Rib-to-Deck joints in orthotropic steel decks
Machine Learning-Assisted probabilistic fatigue evaluation of Rib-to-Deck joints in orthotropic steel decks
GPR-assisted evaluation of probabilistic fatigue crack growth in rib-to-deck joints in orthotropic steel decks considering mixed failure models
GPR-assisted evaluation of probabilistic fatigue crack growth in rib-to-deck joints in orthotropic steel decks considering mixed failure models
Gaussian Process based Feedforward Control for Nonlinear Systems with Flexible Tasks
Gaussian Process based Feedforward Control for Nonlinear Systems with Flexible Tasks: With Application to a Printer with Friction
Forecasting of electric vehicle load profiles
Forecasting of electric vehicle load profiles: Predicting the uncontrolled load stemming from a large group of electric vehicles as input for trading on energy markets
Remote Sensing: Deriving water quality indicators from high-resolution satellite data using spatio-temporal statistics
Remote Sensing: Deriving water quality indicators from high-resolution satellite data using spatio-temporal statistics
Uncertainty Modelling in Aircraft Trajectory Predictions
Uncertainty Modelling in Aircraft Trajectory Predictions
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