Abstract: Edge Gaussian splatting (EGS), which aggregates data from distributed clients (e.g., drones) and trains a global GS model at the edge (e.g., ground server), is an emerging paradigm for scene ...
Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...
Introduction Women with high-risk pregnancies (eg, pre-eclampsia, imminent preterm birth) are often hospitalised due to the need for foetal and maternal monitoring. They are monitored for 30–45 min up ...
This important work introduces a family of interpretable Gaussian process models that allows us to learn and model sequence-function relationships in biomolecules. These models are applied to three ...
This repository contains the Computational Toolkit for Heat Coupled Gaussian Continuous-Wave Double-Pass Type-II Second Harmonic Generation, an open-source Fortran implementation developed to solve ...
ABSTRACT: Binary outcomes are frequently encountered in a variety of fields and contexts and the Bayesian approach is widely used to analyze this type of data. Under this framework, a beta prior ...
(a) Disease progression can be classified into three states: the normal stage, pre-disease stage and disease stage, with the pre-disease stage representing a critical threshold just before the onset ...
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