Monte Carlo methods have emerged as a crucial tool in the evaluation of measurement uncertainty, particularly for complex or non-linear measurement systems. By propagating full probability ...

This study introduces a methodology for applying artificial intelligence techniques to build an internal dosimetry prediction toolkit for nuclear medical pediatric applications. Based on distinct ...

What is this paper about? Machine learning methods are in principle capable to detect and distinguish between different sounds. This is called Sound Event Classification and usually relies on audio ...

There are two flavors of QMC, (a) variational Monte Carlo (VMC) and (b) projector Monte Carlo (PMC). VMC starts by proposing a functional form for the wavefunction and then optimizes the parameters of ...