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Data treatment was essentially based on the multiple regression technique.
Because changes in the elution order of the compounds occurred when modifying the experimental conditions, time differences between peaks were chosen as critical quality attributes, and an original data treatment was developed.
The procedure for data treatment was the same as described in [35].
Aim of our data treatment was to search for similarity among coins, their patina and the surrounding soil, while search of similarity among coins goes beyond the aim.
In each area colorimetric data were collected in eight homogeneously distributed points and data treatment was performed by following the same procedure as used for the stone specimens (see "Colorimetric measurements").
Data treatment was performed essentially as described previously [ 15].
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The materials, experimental setup, test protocol, and data treatment are explained thoroughly to allow reproduction.
Therefore, ANNs application in data treatment is especially important where systems present nonlinearities and complex behavior.
The detector calibration and data treatment were performed in the same way as for the XRD-CT datasets collected during the thermal cycling experiment.
The purpose of data treatment is to evaluate these matrix functions, which belong to the form pn (A M−1, where A=M−1K.
An experimental data treatment is introduced to manage with the tensile test responses of highly non-linear viscoelastic solids such as solid propellants.
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