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Interpretation of the neural network results, together with engineering judgment, allowed us to conclude that using this method is technically feasible for predicting casing collapses in this field.
Moreover, Theorem 2.1 then leads us to conclude that using the Fourier coefficients for the parameter selection, followed by the operator (sigma _n) is, up to a constant factor, an optimal reconstruction algorithm for approximation of functions in (K).
The study and analysis of routing in WMN using genetic algorithm guide us to conclude that using GA technique instead of traditional hop count for finding optimal path gives better results.
We conclude that using excretion prediction equations is useful for predicting excretion and outflow of P in a lactating cow facility, but N excretion predictions exhibited bias and have to be used prudently for predicting N outflow and N volatilization.
We conclude that using experiments E-MEXP-867 and E-TABM-141 allows us to retrieve relevant experiments among the top-10.
We conclude that using performance tasks with corrective feedback on a common rubric may be useful in many fields.
They also conclude that using the tax system to curb inequality can be helpful – but so can other policies.
We conclude that using the PV system is justified on humanitarian, technical, and economic grounds.
Thus, we conclude that using an interpolation factor (f=16) produces an image of sufficient accuracy.
We conclude that using role play as a validation technique can provide valuable information about the performance of the model.
We conclude that using a smartphone to detect falls and portents in a construction site is feasible.
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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