The phrase "approach for group" is not correct and lacks clarity in written English.
It may be intended to refer to a method or strategy intended for a group, but it needs more context to be usable.
Example: "We need to develop a new approach for group collaboration to enhance productivity."
Alternatives: "method for the group" or "strategy for the team".
Thus, we develop Fireworks, an adaptive approach for group communications in mobile ad hoc networks.
When we consider the weighting approach for group decision making with fuzzy linguistic preference relations, the groupment of experts has merely been studied.
Although a few novel conditional GCM methods have been proposed to quantify the connections between brain areas, our study is the first to propose a viable standardized approach for group analysis of fMRI data with GCM.
This would signal to U.S. agencies and U.S. allies around the world that counterterrorism is the right approach for groups more typically thought of as criminals.
First, we present Brofiler, a time-aware device-centric approach for grouping devices into intuitive behavioral groups from multiple perspectives, including data plane, temporal behavior, and the protocol and control plane.
Two major aspects of extensions made with Two pass approach here are development of an algorithmic approach for grouping of various pattern classes needed for the second pass and a soft computing methodology for optimal selection of local regions of character images for extraction of features, specific to each grouping of pattern classes.
This should involve a systematic approach for grouping of chemicals in accordance with their mode of action, use sector, etc., as the 'individual substance' regulation is not efficient enough.
The steps of algorithms are as follow (Amiri and Khajeh, 2015): Step 1 Initial population with the size of npop = 150 is generated with the respect to clustering approach for grouping customers.
"ii)" Economic groups f – another approach for grouping similar hospitals, in four groups.
PrognoScan employs the minimum P-value approach for grouping patients for survival analysis that finds the optimal cutpoint in continuous gene expression measurement without prior biological knowledge or assumption and, as a result, enables systematic meta-analysis of multiple datasets.
Previous approaches for group fMRI power calculation simplify the study design and/or the variance structure in order to make the calculation possible.
