Improving model-based control of a soft robot via gaussian process regression

Polynomial Chaos Expansion-Based Enhanced Gaussian Process Regression for Wind Velocity Field Estimation from Aircraft-Derived Data

Evaluating railway track stiffness using axle box accelerations: A digital twin approach

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

Bayesian system identification of civil engineering structures using high resolution optic fibre measurements and surrogate modelling

Machine Learning-Assisted probabilistic fatigue evaluation of Rib-to-Deck joints in orthotropic steel decks

On the Estimation of Vector Wind Profiles Using Aircraft-Derived Data and Gaussian Process Regression

Contour Method with Uncertainty Quantification: A Robust and Optimised Framework via Gaussian Process Regression

Gaussian Process based Feedforward Control for Nonlinear Systems with Flexible Tasks: With Application to a Printer with Friction

GPR-assisted evaluation of probabilistic fatigue crack growth in rib-to-deck joints in orthotropic steel decks considering mixed failure models

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

Uncertainty Modelling in Aircraft Trajectory Predictions

Predicting movable bridge deck expansion: A machine learning and asset management perspective

Wind Profile Estimation from Aircraft Derived Data Using Kalman Filters and Gaussian Process Regression

Quantifying Accuracy and Uncertainty in Data-Driven Flight Trajectory Predictions with Gaussian Process Regression

Fast and robust identification of railway track stiffness from simple field measurement

A Gravity Assist Mapping Based on Gaussian Process Regression

Strategy synthesis for partially-known switched stochastic systems