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Our method selects the optimum design to collect data suitable for accurate modelling and analysis and minimises the error in the parameters estimated.
In this paper a method is presented that allows an arbitrary deformation to be represented to within a desired tolerance by using a significantly reduced set of surface points intelligently identified in a fashion that minimises the error in the interpolated surface.
This paradigm minimises the error between the model and the real image.
Besides, it is produced in long series, which minimises the error of measurements.
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In such a situation, adapting a model so that it minimises the errors made on the segmented transcriptions might not automatically lead into a model that minimises the word error rate, which is the real goal of a speech recognition system.
We focus here on minimum variance resampling (also known as systematic resampling) which minimises the errors inevitably introduced by the resampling process (and is discussed in more detail in Section 4.6).
The goal-based adaptive methods optimise the angular discretisation to minimise the error in a specific functional of the solution.
Optimisation was performed by minimising the error between the experimental and predicted values of responses by ANN.
This paper describes the use of computational fluid dynamics (CFD) and mathematical optimisation techniques to minimise the error in predicting the recirculation zone for a separated flow topology.
In a GNSS receiver, the Phase-Locked Loop (PLL) aims to minimise the error between the input phase and its estimated phase output.
The stimulation current was subsequently adjusted using a proportional integral (PI) controller to minimise the error between the reference value and the electrode offset voltage.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com