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The framework performed competitively with the R outlier statistical package.
AM designed the agglomerate recognition framework, performed the experiments, and drafted the manuscript.
MA carried out the design of the iris cross-spectral matching framework, performed the experiments, and drafted the manuscript.
The framework performed in real-time, in comparison with the batch approach provided by the R application.
We found that the newly developed framework performed well in predicting soil moisture dynamics at different spatial extents.
We have found that individuals who reported visualizing trigonometric expressions on the unit circle framework performed better than those who did not report using this visualization.
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Furthermore, the proposed framework performs well in different item categories.
However the integrated framework perform well with gesture detection and mental state prediction module.
The framework performs a shuffle phase in order to group the values of the same key.
The proposed analysis framework performs an inlier/outlier-based temporal segmentation of the content.
In this framework, performing community detection and analyzing the cluster evolution represents a critical task.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com