Sentence examples for methodologies for reduction from inspiring English sources
Having this in mind substantial research effort has been focused towards development of methodologies for reduction of point data which is the result of 3D-digitization.
Appropriate use of surface texturing and chemical patterning methodologies allow for reduction of both blood coagulation and platelet adhesion, and new methods of surface interrogation at high resolution allow for measurement of the relevant biological factors.
In this work, new methodologies for order reduction of nonlinear systems with periodic coefficients subjected to external periodic excitations are presented.
There are a wide range of methodologies for dimension reduction, with much active research in this field (Wolfe 2013).
In conjunction with principal component analysis, this algorithm provides a systematic methodology for mechanism reduction at ignition and extinction.
This paper introduces a novel methodology for the reduction of modal data from complex finite element (FE) models, resulting in a highly accurate and computationally efficient model termed B-SAFE (B-spline-based Semi-Analytical Finite Element model).
This research proposes a new methodology for dimensionality reduction of t f based representations.
The steganographic algorithms and the proposed methodology for dimensionality reduction and steganalysis are only performed on these images.
This research proposes a generic methodology for dimensionality reduction upon time frequency representations applied to the classification of different types of biosignals.
The Minimum Redundancy Maximum Relevance (MRMR) approach to supervised variable selection represents a successful methodology for dimensionality reduction, which is suitable for high-dimensional data observed in two or more different groups.
Our main contribution is a new methodology for model reduction in the absence of a continuous objective function, unlike the aforementioned works that use a continuous objective based on time-series data.
