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The proposed model decreases the total inefficiency of all DMUs.
As Sterelny and Griffiths (1999) report, the power of the model decreases as the gap between sex and reproduction increases.
Furthermore, the mean absolute percentage error (MAPE) of the model decreases from 5.64%to4.94%4%.
As the soil spring stiffness increases, the fundamental period for the structural model decreases.
It is defined to monotonically increase as the (expected) accuracy of the model decreases.
Indeed, the asynchronous model decreases drastically the overall needed time to retrieve the result set.
The accuracy of the hybrid model decreases with increasing porosity of the matrix.
On the contrary when there are more features, their orientation varies more and the efficiency of the model decreases.
In both of these simulations, the accuracy of the first order model decreases as the object height and aperture increases.
This can be seen from Figure 3, which shows that the period factor of 'Regression 1' model decreases with time.
The proposed model decreases the running time in addition to improving the performance and convergence rate of the algorithm.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com