Prediction of model at the experimental range using systematic data enables us to provide a better understanding of the simultaneous effect of variables on the properties of coating.
The use of compound data enables us to increase the modularity of our programs.
Conversely, in the case in which we do not know a mathematical model of a plant, the achievement of the desired output by some sort of method based on the direct use of the data enables us to identify the plant as the internal model in IMC.
This specific processing using the stripmap data enables us to get the crustal deformation map observed from the ascending orbit and to calculate a quasi-vertical component, discussed later.
The completeness of the data enables us to follow and describe the network development using simple mathematical tools and to provide a model that reproduces aspects of the dynamics.
The AEM thickness data enables us to determine the general thermodynamic and dynamic boundary conditions of ice formation62,63.
The corroboration of both data enables us to define the chemistry and structure of this new formulation.
The application of a fixation filter to the raw data enables us to study separately the distributions of jump sizes for fixational and saccadic gaze steps.
