Nowadays, power quality issues are becoming a significant research topic because of the increasing inclusion of very sensitive devices and considerable renewable energy sources. In general, most of the previous power quality ...

Cost-efficient single-polarized X-band radars are a feasible alternative due to their highsensitivity and resolution, which makes them well suited for complex precipitation patterns. Thefirst horizontal scanning weather ...

In this paper we propose a method based on a combination of binary classifiers which are optimized for those special cases where the real signals contain a multitude of events within the analyzed temporal window. These ...

This study evaluated the effect of the CAD/CAM burs experience (newer vs older as consequence of the milling sequence) on fatigue failure load (FFL), number of cycles for failure (CFF), and survival rates of lithium ...

Objective. The differential diagnosis of behavioral variant frontotemporal dementia (bvFTD) and Alzheimer’s disease (AD) remains challenging in underrepresented, underdiagnosed groups, including Latinos, as advanced ...

The following thesis proposal describes a framework for the analysis of signal-based features related to vocal pathologies, namely phonotraumatic vocal hyperfunction (PVH) and non-phonotraumatic vocal hyperfunction (NPVH), ...

Feature selection is a crucial machine learning technique aimed at reducing the dimensionality of the input space. By discarding useless or redundant variables, not only it improves model performance but also facilitates ...