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As part of the pilot study we also scored the quantitative evaluation measures.
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The area under the ROC curve (AUC) will serve as a quantitative evaluation measure for the proposed CAD system.
Moreover, to provide a quantitative evaluation to measure the extent of regime switching, the regime switching index (RS I is proposed.
A method that can be used for quantitative evaluation of similarity measures is using them for determining the correspondences between two images and then calculating the errors.
Comprehensive experiments on several real datasets are used for performance assessment, including quantitative evaluations to measure the degree of data reduction and the distortion of reconstructed images.
This paper develops a quantitative evaluation model to measure the uncertainty of GSCM activities and applies an approach based on Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method which is an extension of intuitionistic fuzzy environment aiming to solve the green multi-criteria decision making (GMCDM) problem.
The next phase of the development process will be quantitative evaluation of the measure in English and Spanish-speaking adults in the US and Mexico, which is ongoing.
The quantitative evaluation included compaction (measured on the x-axis: from 0 to 570 µm axial position or depth) and evaluation of backscattered intensity "brightness" (measured on the y-axis from 0 to 800 arbitral units (AU).
The novelty lies in the modelling of interdependencies among port performance measures, and the combination of weights of interdependent measures with both qualitative and quantitative evaluations of the measures from multiple stakeholders for quantitative port performance measurement.
For quantitative evaluation, we utilize F-measure to evaluate the accuracy of the moving object detection result.
Three quantitative standard statistical performance evaluation measures, root mean squared error (RMSE), mean absolute error (MAE) and mean absolute percentage error (MAPE) were employed to evaluate the performances of the ANN, SVM, EMD SVM and M-EMDSVM models.
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