But now, researchers at the University of New South Wales, Sydney have developed an enhanced way to make green ammonia ...

In this letter, a Model Predictive Control (MPC) approach based on the Incremental Sparse Gaussian Process (ISGP) is designed for trajectory tracking of Unmanned Underwater Vehicles (UUVs). The ...

AKDE: Multivariate Adaptive Kernel Density Estimation Using Gaussian Mixture Model AKDE provides an accurate, adaptive kernel density estimator based on the Gaussian Mixture Model for multidimensional ...

We introduce an inference model that processes the spatiotemporal covariance in satellite data and estimates hyperparameters such as covariance length scales. Our approach uses the Gaussian process ...

A team of researchers from UC Berkeley, Aalto University, ShanghaiTech University, SpectacularAI, Amazon, and Luma AI addressed these limitations by developing gsplat, an open-source Python library ...

FFLUX, a novel force field based on quantum chemical topology, can perform molecular dynamics simulations with flexible multipole moments that change with geometry. This is enabled by Gaussian process ...

In the last years, Nonlinear Model Predictive Control (NMPC) has widely spread both in research and industrial contexts. NMPC reliability, however, depends on the accuracy of the model description, ...