Automated surface segmentation is an important tool for utilizing medical image data in
modern precision medicine for routine clinical practice and research. Deep-learning based …

Hemodynamic changes occur in stroke and neurodegenerative diseases. Developing
imaging techniques allowing the in vivo visualization and quantification of cerebral blood …

Hyperspectral sensors generally acquire images in the spectral range in more than one
hundred contiguous narrow channels with a (deca) metric spatial resolution. Each pixel of …

In phase-shifting technique, using self-calibrating algorithms allows us to determine phases
and phase shifts simultaneously, thus eliminating the errors caused by miscalibrations of …

When the classical H∞ algorithm (HIF) is applied to estimate the state of charge (SOC) of a
lithium battery, the influence of historical data is usually ignored, resulting in an increase in …

Fitting experiment data onto a curve is a common signal processing technique to extract
data features and establish the relationship between variables. Often, we expect the curve to …

The accurate assessment of switching losses is critical for evaluating the achievable
performance of hard-switched applications implemented with wide-bandgap …

Phase-shifting fringe projection profilometry usually suffers from the errors induced by
illumination fluctuations. As a result, ripple-like artifacts that have the same periods as …

This article describes an algorithm used to automatically detect differential coil eddy current
(EC) defect signal features using a sum of Gaussians approach. Defect signals are …

When studying the phase changes process in a rolled AA8011 alloy using DSC, we find that
the peaks associated with phase precipitation under this microstructural condition are …