Nature

Developing Gaussian process regression, Lasso regression, and Nu-support vector regression models for predicting solubility of exemestane in supercritical CO

There is only ever one egg laid by a cuckoo at a time, and the nesting sites are selected at random. 2. Among a randomly chosen group of nests, only the nest with the superior-quality eggs is selected ...
Nature

Gaussian process regression with physics-guided pseudo-sample augmentation for wear prediction under sparse measurements in milling

Tool wear prediction is essential to ensure machining quality and sustainability. Hybrid physics-data Gaussian process regression (GPR) methods integrate domain knowledge with data-driven learning, ...