Prediction of soil compaction parameters through the development and experimental validation of Gaussian process regression models

The laboratory determination of maximum dry density (ρ_dmax) and optimum moisture content (w_opt) of soils requires considerable time and energy. Efforts have been made in the past to present models to predict the soil compaction parameters (ρ_dmax and w_opt), but the existing models are either...

A gravity assist mapping for the circular restricted three-body problem using Gaussian processes

Inspired by the Keplerian Map and the Flyby Map, a Gravity Assist Mapping using Gaussian Process Regression for the fully spatial Circular Restricted Three-Body Problem is developed. A mapping function for quantifying the flyby effects over one orbital period is defined. The Gaussian Process Regression model is established by proper mean and...