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The algorithm can be divided into three mutually dependent steps (Figure 3), namely, CCI mitigation and user grouping (blue coloured blocks with a solid line), user selection, based on the proposed adaptive scheduling metric using an incremental approach (green coloured blocks with a dashed line) and optimal transmission scheme selection (yellow coloured block with a dashed-dotted line).
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We minimize this nonlinear metric using a novel coarse-to-fine hierarchical solver, further accelerated with a fine-to-coarse propagation of the integrated metric tensor.
In response to this, in this paper, firstly, a metric using a fuzzy logic system based on the Sugeno fuzzy inference model for evaluating the quality of the realism of existing intrusion detection system datasets is proposed.
Specifically, we used a simple penalty metric (where 1 is for agreement to the natural template and 0 otherwise), a penalty metric using a linear curve, and a penalty metric using a power curve.
Model evaluation was performed using the AUC metric using a cross-validation procedure (80%% of the data used for calibration/20 % for evaluation), with 30 repetitions.
In Barcelona we developed a refined spatial air pollution exposure metric using a land use regression model (Beelen et al. 2013; Eeftens et al. 2012a).
In this work, we present the STRIKE score, a new metric using a single structure to estimate the structural correctness of MSAs.
VAAST also incorporates scores for non-coding variants based on a conservation metric using a general framework, which could, in principle, incorporate scores from new tools such as CADD and GWAVA.
This metric uses an exponential decay function to reduce the influence of lower ranked compounds on the final score.
NAF volume was measured using a metric ruler.
Body sizes were measured using a metric scale set beside the insect specimen during photographing.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com