Sentence examples for data entailed from inspiring English sources

Exact(9)

The analysis of the functional imaging data entailed the creation of statistical parametric maps representing a statistical assessment of hypothesized condition-specific effects [40].

Demographic data entailed profession, team, hospital and organisation for sample descriptive and comparative purposes.

Analysis of qualitative data entailed categorisation of issues based on inductive and deductive approaches by which a priori themes were used as a starting point.

Apodization of the water-suppressed data entailed multiplication with sine-bell functions in both time dimensions and zero filling up to 4K × 1K data points.

The analysis of the functional imaging data entailed the creation of statistical parametric maps representing a statistical assessment of hypothesized condition-specific effects (Friston, Jezzard & Turner, 1994), which were estimated with the General Linear Model (GLM).

The primary data entailed the use of in-depth interviews, whereas sources of secondary data included academic papers, government and NGO reports, various legal documents (new Family Code, Penal Code and the new Constitution) and media reports.

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Similar(51)

The calibration data entail both tangential and normal coefficients of restitution, for varying impact angles and speeds of the bouncing particle.

As a first step, three AB2-type alloys that satisfy operation conditions were selected from published thermodynamic data entailing over 200 single plateau hydrides.

This implies that big data entails the use of tools (classification, clustering, regression algorithms, etc)., techniques (data mining, machine learning, statistical analysis, etc)., and technologies (Hadoop, HBase, MongoDB, etc).

The structure of the data entails elementary restrictions that must be considered in the model choice: E s j x = λ x ; β ∈ 0, 1. ∑ a = 1 A E s a X = 1.

One of the borderline-cliché terms in deep learning is "big data". Big data entails a large volume of data and information, both structured and unstructured, and is often one of the biggest problems that businesses need help solving with deep learning.

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