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The design points within the design space were selected using Latin hypercube sampling.
Ten objects to be tested in CZE, capable of covering homogeneously the principal component space, were selected by means of Kennard Stone algorithm.
A set of candidate points in the design space were selected using the D-optimal criterion[5, 16, 17, 18, 19].
Finally, a total of 10 mug sample images which would cover the whole design space were selected as the product image questionnaires as shown in Fig. 3.
Five trees that appeared broadly distributed in tree space were selected for each locus and the combined analysis as gene trees and species trees, respectively.
Categories of percentage green space were selected for visualisation based upon historic planning policy in Western Australia, where it is a requirement that 10% of all sub-divisible land is allocated to parks and other open spaces [ 46].
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Twenty-one design points within the design space are selected by Latin hypercube sampling.
This color space is selected because of its robustness against noise and occlusion.
The default value of the grid space was selected as best and was used for further studies.
To expose the left main bronchus and the carina, left postero-lateral thoracotomy through the fourth intercostal space was selected.
The optimal system configuration in the entire design space is selected based on the lowest cost of energy, subject to a specified reliability criterion.
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