Sentence examples for metric for estimating from inspiring English sources
Fraction of percolating carbon nanotubes is defined as a metric for estimating electrical conductivity of composites with intermediate volume fraction of carbon nanotubes.
However, in the pulverization period group, an inverse association between catalase activity and placental index, a useful metric for estimating placental inefficiency, was found.
AP2P self-organizes in order to improve content locality using a novel affinity-based metric for estimating the distance between clusters of nodes sharing similar content.
Results promote WLF-DEE as a new stable metric for estimating the perceived magnitude of contrast between an original and a reproduction.
In Section 3 a new metric for estimating the development time is defined and combined with our research tool "Design-Trotter".
Results promote WLF-DEE as a new efficient metric for estimating the perceived magnitude of contrast between an original and a reproduction.
This requires considering as an integrated whole, the entire chain or pathway from pollution source through to health outcome, and managing the transitions between steps of the pathway; e.g. the exposure metric used for estimating exposures must be the same as the exposure metric used for estimating exposure-related risks to health.
In this article, we complement this evaluation with concrete measures and analyze the accuracy of the additive and maximum metric functions for estimating two properties of interest in a video processing chain: frame processing time and reconfiguration time.
Regarding Q2, the maximum metric is adequate for estimating frame processing time on parallel execution with an accuracy of 90.6 %.
Design of a filter depends on two parameters, namely the objective function and the metric it employs for estimating the feature-to-class (relevance) and feature-to-feature (redundancy) association.
This metric is used for estimating the uniformity of the spread of the points in the final Pareto solution frontier found by each algorithm and is calculated by: S = Σ i = 1 N − 1 d i − d ¯ ( N − 1 ) d ¯ Open image in new window (35).
