In SNEP analysis, extraction of probes sets does not affect on individual SFP detection performance, because SNEP analysis performs SFP detection on a set by set basis.
Furthermore, the extraction of setting-specific outbreak data of the national surveillance database is intricate [11], and the national database contains high numbers of incorrect entries (e.g. on hospitalisation of Norovirus cases).
In the first phase, the structure of the model is obtained by means of subtractive clustering, which allows the extraction of a set of relevant rules based on a set of representative input output data samples.
We show how to maintain the Reeb graph over time and compress the entire sequence of Reeb graphs into a single, partially persistent data structure, and augment this data structure with Betti numbers to describe the topology of level sets and with path seeds to assist in the fast extraction of level sets for visualization.
Some genetic approaches for learning the fuzzy rule base require the previous extraction of a set of rules to be used as the genetic search space.
Headspace solid-phase microextraction (HS-SPME), multiple (and classical) stir bar sorptive extraction (mSBSE), static headspace (SHS), and dynamic headspace (DHS) were compared for the extraction of a set of 21 representative flavor compounds of beer aroma.
In this study, we investigated the extraction of a set of software metrics of a given Java source code by a program written in Visual C++––that could be used as a fingerprint to identify the author of the Java code.
The first two approaches are based on the extraction of a set of handcrafted features trained by three different classifiers (support vector machines, k-nearest neighbor, and Gaussian mixture models) while the third approach is based on the design of convolutional neural networks (CNN).
To conclude this section, we provide a step-by-step description of how the proposed architecture performs the extraction of a set of endmembers from a hyperspectral image.
Ferro et al. [18] presented a method of detecting building and reconstructing radar footprints based on extraction of a set of low-level features from images and on their combination in more structured primitives.
AY's contributions include extraction of data sets, functional analysis of words, and writing the manuscript.
