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Grid-clustered rough set (GCRS) model computing the universe partition based on grid subspace cluster (GSC) algorithm is constructed in this paper to fill the aforementioned gaps.
We used a likelihood ratio test (LRT) to test the significance of each variable in the model, computing the χ of the LRT between the model retaining and the model excluding the variable.
Used models are prior distribution over object positions, visual conspicuity computed by a saliency map, and a model computing the location where the greatest information gain given previous detections may be obtained.
Quantitative phenotypic data were compared across genotypes by a repeated-measures general linear model, computing the genotype as the between-subjects effect and both baseline and 1-year values as the within-subjects effect.
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The model computes the optimal short-turning stations, routes and platform tracks.
The model computes the constraints required for catalyst, such as maximum and minimum operation temperature.
For each time step, the model computes the head in the river and in the groundwater in a reach.
The model computes the gains in both the volumetric overall mass transfer coefficient and the number of transfer units.
Their model computes the trustworthiness of a given peer based on the community feedback about the participant's past behavior.
Decision variables The optimization model computes the normalized data flow of f i through link e j.
Giving the meteorological data as boundary conditions on the reactor; the model computes the solar coefficient of performance (COPs).
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