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Their performances are compared based on an adequate quality performance criterion.
In this section different state modelling methods for dual-satellite reception are compared based on an exemplary scenario extracted from the GNSS measurements (we chose: urban environment, elevation1 = 45°, elevation2 = 25°, azimuth angle separation = 45°).
Variance estimates for the two conditions were compared based on an F-test.
As a result, models in different modelling languages can be compared based on an ontological characterization of the biological phenomena they represent.
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The different operating strategies are compared based on a detailed financial analysis.
Finally, all three categories are compared based on a number of criteria.
The relationships among these algorithms are investigated and compared based on a set of simulations.
The uni-axial and bi-axial rotational schemes are studied and compared, based on a vessel rotating speed of 35 rpm.
These architectures are compared based on a set of cognitive functions supposed to exist in the human cognitive cycle, and how each architecture deals with them.
These two Artificial Neural Networks (ANNs) are compared based on a cost function that relates the size of the training data to the accuracy of the model.
The technique is named Max-weight method and is also implemented and the results are compared based on a designed accuracy metric.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com