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ALBPS proved to obtain better performance than ALBP when assessing boar sperm vitality, plus it allowed to use a support vector machine (SVM) classifier, improving computational time with respect to the 1×1 matching algorithm proposed in ALBP.
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It possesses necessary primitives, and it allows to use modules already deployed in the same environment.
It allows to use the computer calculated data to predict the nitrogen distribution in condensed films.
One clear advantage of this approach is that it allows to use standard codes for time-dependent fluid dynamics.
In the present case, it allows to use other than periodic boundary conditions in a Fourier pseudo-spectral approach.
It allows to use the strongest advantages of every model in the solution and to share the multinational experience.
It allows to use only several thousands simulation particles, even if the particle number concentration experiences changes of several orders of magnitude.
Operating in the time domain, it allows to use homogenization of random media on composites made up of isotropic ageing linear viscoelastic phases.
It allows to use one single method to derive global syntheses, which can be easily adapted for any large field-of-view optical sensor.
This embedding is interesting as it allows to use the classical analysis and design tools such H∞ design and μ-analysis or synthesis.
Furthermore, it provides features for modelling analog, digital, and mixed-mode systems and it allows to use multiple energy domains, such as electromechanical, electro-optical, and thermal-electrical systems, which allows the complete embedded system modelling (including sensors and actuators).
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