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To begin with, the prediction accuracy of the numerical model at the two selected locations was studied.
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Results of the annual wind speed characteristics of selected locations are presented in Table 4.
The corresponding solution in terms of selected locations is denoted by (overline{J} = left{ j in Jleft| y^*_j=1right. right} ).
Random combination analysis revealed that at most four randomly selected locations were needed for accurate estimation of mean soil moisture time series.
However, based on SWERA wind resource classification scheme, it can be concluded that wind resources in all selected locations are falling into class 1 (poor).
Results indicated that the values of strains at all selected locations were accurately estimated by the trained neural networks both for concrete and reinforcements.
It can be observed from this table that the minimum wind speed among the selected locations is 3.17 m/s in Uyo, while the maximum value is 7.77 m/s in Kano.
A specified number of days and times were randomly selected, and the selected locations were visited during the specified period.
Positional coordinates from selected locations were transferred to a corresponding x y-stage for analysis of elemental distributions.
"The fact that no other organization has committed to build a permanent school building in the selected location is one of them.
Its map interface for selecting locations is confusing, but you can mark locations as favorites.
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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