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HHT (Hilbert–Huang transform) is a method for adaptive analysis of non-linear and non-stationary signals, but it can only distinguish conspicuous faults.
The goal of this article is to develop a multiscale adaptive generalized estimation equation (MAGEE) method for spatial and adaptive analysis of neuroimaging data from longitudinal studies.
We propose a hybrid 3D field transfer operator based on a moving least-squares meshless interpolation and designed to reduce numerical diffusion as well as to preserve extrema values during the adaptive analysis of a metal-forming process.
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Attractive features of the meshfree strong-form method that facilitate the implementation of adaptive analysis are demonstrated via a number of examples in this work.
The GEE model presented, in conjunction with the test for appropriateness of the model, form the basis for an adaptive analysis approach for determining the method of estimation of the primary endpoint.
This paper presents a novel 'h-p adaptive' generalized analysis of variance decomposition (G-ANOVA) for high dimensional stochastic computations.
The results show that this staggered pollen presentation and subsequent stigma presentation in the same place reduces sexual interference and improves pollination accuracy, as shown by adaptive accuracy analysis of the three male and female flower phases.
The algorithm is based on adaptive functional ANOVA (analysis of variance) decomposition, which approximates a high-dimensional function with the summation of a set of low-dimensional functions.
As an emergency department (ED) is a complex adaptive system, the analysis of continuously gathered data is valuable to gain insight in the real-time patient flow.
This approach is embedded into a new decomposition algorithm, namely empirical mode decomposition (EMD) [1] that provides a powerful tool for adaptive multi-scale analysis of nonlinear and non-stationary signals.
This paper investigates adaptive finite element analysis of kinematically and materially nonlinear problems in two dimensions and the implementation issues in High Performance Computing HPCC) platform under the distributed computing environment for industrial applications.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com