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In pre-classification approach CVA, NDVI and NDWI analysis were implemented to assess the change scenario.
Comparison criteria and statistical analysis were implemented to understand the effects of the "Dark Horse" on the final solution.
All computations needed for controller design and system analysis were implemented using a freely available software toolbox.
The modelling and 3D nonlinear analysis were implemented by applying finite element method (FEM) and using software package ANSYS 14.5.
The performance, cost and power analysis were implemented on different processor architectures such as WSM, NHM, and ATOM processors running on a backend server cluster.
Because both the qABL and Patlak analysis were implemented on the same dataset, the relationship between the Patlak intercept and the fractional blood volume could be investigated.
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Transformation and analysis were implement by C# language (Visual Studio.NET, Microsoft) using a custom made program.
Implementation: Gene expression analysis was implemented using the free software Bioconductor version 2.11.1.
The analysis is implemented with Maple.
Factor analysis was implemented to determine the instrument construct validity.
Regression analysis was implemented to verify the proposed model.
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