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FDNP is implemented to rank the segment-strategies.
It also contains a subset of problematic usability attributes on which attribute selection algorithm is implemented to rank each problematic attributes.
An iterative search algorithm, sequential floating forward selection (SFFS), was implemented to rank the contribution of each spectral parameter to tissue-type discrimination.
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Then the frequency ratio (FR) method has implemented to evaluate the rank of correlation between the selected factor's ranges (i.e. slope, land use, soil, lithology, distance from drainage, and distance from the road network) and landslide locations in the study area.
Three case studies were implemented to find the ranking of 10 shoe lasts in the database.
We also detail how these measurements (and their derivatives) were implemented to form a five-criterion rank-based composite score for each SNP used to select SNPs from Stage 1 (pooled DNA using Affymetrix 500 K microarrays) for individual genotyping on an independent and representative sample of social (or nonsocial) autistic-like traits.
We furthermore implemented both methods to rank temporal genes by statistical significance.
Furthermore, an algorithm similar to the shortest pathway search has been implemented in order to rank all possible pathways.
The whole study area is divided into homogeneous subregions and a conventional variance-based approach is implemented in each subregion to rank rain gauge stations.
We have therefore implemented six different algorithms to rank such regions: Total (default).
Consequently, we decided to implement a CM score to rank the predictions in cases when the predicted TM-distance for the template is >0.5 threshold.
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