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Once the pilot interventions are completed, all data will be exported and merged, based on individually assigned study ID numbers, to form an analysable dataset.
Once the study is completed, all data will be exported and merged, based on individually assigned study ID numbers, to form an analyzable dataset.
PathwayAPI (both merged based on the LCS approach and non-merged) outperforms its constituent databases, demonstrating the value of integration (Additional file 6: Figure S3).
Sample-by-read abundance matrices from each plate are merged based on the unique zOTU sequence, providing a sample-by-read abundance matrix for all samples in the dataset.
Regions are iteratively merged based on minimum spanning tree technique.
The models thus identified may be merged based on their importance in description of the story.
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We introduce in this paper, for the first time, a multi-objective formulation of the problem of model merging, based on NSGA-II, that aims to find the best trade-off between minimizing the number of omitted operations and maximizing the number of successfully applied important operations.
Merging based on the relevance removes this randomness from the analysis.
In this study, we develop a novel approach for data merging based on stacked NNs (SNNs).
1. Hierarchical clustering method: Hierarchical clustering is an unsupervised method of grouping list of items through successive merging based on similarity or successive division based on dissimilarity.
We now show that incremental merging is possible; that is, we can start by performing the merging based on a subset consisting of sensor nodes, and it can be guaranteed that the merging decisions that were valid when nodes were considered will remain valid even when all nodes are taken into account.
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