The bending strength of silicon nitride (Si 3 N 4) plays a vital role in its application and is
influenced by various process factors. Current experimental methods for investigating Si 3 N …

Modeling the quantified relationships between anthropometric/product parameters and
human perceptions provides research-driven guidelines for mass customization and …

EEG signals (EEGs) are usually collected by placing multiple electrodes at various positions
along the scalp as multichannel data. Given that many channels are collected for each …

Temporal data mining is much more complex because additional challenges such as data
handling, modelling, etc. exist during the computation process of temporal data. This paper …

Annotation is an effective reading strategy people often undertake while interacting with
digital text. It involves highlighting pieces of text and making notes about them. Annotating …

Wind turbines are typically organised as a fleet in a wind park, subject to similar, but varying,
environmental conditions. This makes it possible to assess and benchmark a turbine's …

This paper introduces a novel learning ensemble algorithm designed for the classification of
Electro-Cardio Graphic (ECG) signals. In real-time monitoring of cardiovascular patients …

Human skin colour detection is a necessary element in computer vision as well as in image
processing applications. It is a separation procedure of skin pixels from non-skin pixels in …

Discretization is one of the most important parts of decision table preprocessing.
Transforming continuous values of attributes into discrete intervals influences further …

In this work, an adaptive algorithm for the symbolic discretization of time series is introduced.
This approach, called MODiTS, consists of defining a different alphabet vector for each word …