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Based on a developed mechanical model, it is possible to calculate the energy consumption in advance.
With this model, it is possible to calculate the end-to-end delay and the throughput limit of the link layer.
When using probabilistic model, it is possible to calculate minimum repair frequency by adjusting intended service life, and this enables optimum repair cost efficiently.
By using this model it is possible to calculate the development of temperature at any time and place of base slab, industrial floor or concrete pavement at the early stage.
Using the interpolated results of the FEM model, it is possible to calculate how predicted tolerances on strain gauge position affect the precision of Y measurements as shown in Table 5.
Using this model, it is possible to calculate oxygen consumption rate, to evaluate enzymatic reaction kinetics, and to determine diffusion coefficients of oxygen diffusion in the SECM-based systems.
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Since the continuous-time Markov chains are probabilistic models it is possible to calculate likelihood estimates of various models and use these values to test their validity by comparing their maximum likelihood [22], [23].
For example, it is possible to calculate the asymptotic properties of graphs produced by a duplication model [ 41].
In such a case it is possible to calculate a composite model that is a weighted average of all the candidate models.
BMA works on the principal that it is possible to calculate the Bayes probability that a model is the correct model for a given data set.
By modeling the cover message class according to a probability distribution it is possible to calculate the conditioned probability distribution.
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