Abstract: Empirical mode decomposition (EMD) is a nonlinear, data-dependent method that decomposes a nonstationary signal into a few oscillation modes, which are referred to as intrinsic mode ...

Abstract: Many scientific researches require the observation of microscopic images of samples under high magnetic fields. Due to the strong effect of high magnetic fields on magnetic materials and ...

For all 4 algorithms, more balanced classes (multiplier: 0.93-0.96 for a 1% increase in minority class proportion) were associated with decreased sample size. Other characteristics varied in ...

A simple, user-friendly and extensible simulation framework for analyzing and comparing routing algorithms in Low Earth Orbit (LEO) satellite constellations. This tool enables researchers and ...