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In the past few years, researchers have been developed different CCVT model using various software packages to conduct the transient studies [12 16].
We have used various kinds of datasets to analyze, compare and show the effectiveness of Hybrid model using various parameters such as Accuracy, Precision and Miss-Prediction.
This program allows users to process the rainfall runoff data, to train/test the model using various input options and to visualize results.
This article describes the development of a coalescence model using various CFD work packages, and is validated using as toluene water model system.
The full data set is then used to estimate the performance of the GRNN model using various non-independent indicators, such as the coefficient of correlation, standard deviation of residuals, and reduction in variance with respect to the initial variability.
Multiple regression models were calculated to find the best model using various nutrients to predict cognitive function.
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The proposed model uses various mechanisms to avoid and detect this attack.
The model uses various probability distributions to deploy sensors within the entire WSN.
The model uses various thermal resistances to take into account heat transfer between the different parts of the system.
The company makes a gamut of models, using various materials, including polystyrene, leather and wood.
The response to X ∈ {P,K,P+K} can be modeled using various regression functions [50].
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