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In this paper we examine five of the most common system engineering methodologies cited in the literature, and we examine to what extent each of these methodologies incorporates security and privacy as part of the systems development process.
Each of these methodologies has its own advantages and drawbacks [1], but none of them is able to derivatise aldoses, ketoses and uronic acids at the same time without inducing any degradation, or producing chromatograms too complex to be unequivocally interpreted.
Each of these methodologies is armed with a practical toolkit and a series of case studies to back it up.
A more comprehensive presentation of studies using each of these methodologies has been presented elsewhere.
As each of these methodologies becomes more sophisticated, our ability to isolate, detect, and phenotype these cells will continue to improve.
Each of these methodologies was applied using the software package Weka 3.6.9 [ 55], within which appropriate parameters were selected for SVM, C4.5 and RF using GridSearch with 10-fold cross validation settings.
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At the same time, each one of these methodologies comprises very important aspects concerning security that can be used as a basis for new methodologies or extensions that may be developed.
First comparative study of these methodologies.
The limitations of these methodologies and experiences are discussed below.
A comparison of these methodologies revealed main distinguishable differences.
For an extensive overview of these methodologies see: [ 11, 12].
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