Tag: Gaussian process regression

A simulation-only study on a UR5 robot arm shows Gaussian Process Regression most accurately predicts joint torques, while optimized adaptive ...

A Gaussian process regression model trained on six training and anthropometric variables predicted self-reported knee pain severity in fifty professional ...

CMC-stabilized nickel nanoparticles raised CO2 dissolution in natural seawater to 67.2 percent in microfluidic experiments, with a Gaussian Process Regression ...

Researchers used Gaussian Process Regression to convert sparse ICESat-2 laser altimeter measurements into continuous glacier height-change maps, quantifying ice loss ...

A new study combines CTGAN-generated synthetic data, hybrid machine learning, SHAP explainability, reliability analysis and multi-objective optimization to design fly ...

A transfer learning method tested in Iran's Kerman magmatic arc identified all three known porphyry copper deposits in an evaluation ...

A Bayesian data-driven method combining multiple physical constraints improved prediction, uncertainty, and mass balance in synthetic and laboratory groundwater contamination ...

A modeling study found that MAML-GPR predicted TiN coating thickness more accurately than four reference models under fivefold cross-validation and ...

Researchers combined Gaussian process machine learning with expert judgment to optimize laser annealing of silicon suboxide battery anodes, achieving near-identical ...

Researchers have shown that Kriging meta-models can reassess the fatigue lifetime of offshore wind turbines using less than 0.5 percent ...