Results 71 to 80 of about 1,730 (224)
An analysis of Ermakov-Zolotukhin quadrature using kernels
We study a quadrature, proposed by Ermakov and Zolotukhin in the sixties, through the lens of kernel methods. The nodes of this quadrature rule follow the distribution of a determinantal point process, while the weights are defined through a linear ...
Belhadji, Ayoub
core
Repelled Point Processes With Application to Numerical Integration
ABSTRACT We look at Monte Carlo numerical integration from a stochastic geometry point of view. While crude Monte Carlo estimators relate to linear statistics of a homogeneous Poisson point process (PPP), linear statistics of more regularly spread point processes can yield unbiased estimators with faster‐decaying variance, and thus lower integration ...
Diala Hawat +3 more
wiley +1 more source
Improved Radiofrequency Safety Modelling in MRI Using In Vivo Measurements of Brain Conductivity
A workflow for the comparison of simulated and measured B1+$$ {B}_1^{+} $$ maps was developed and applied to a study on human tissue (brain) electrical conductivity, investigating differences between conductivity values from ex vivo and in vivo measurements.
Guillaume Paillart +7 more
wiley +1 more source
Optimization of the Approximate Integration Formula Using the Quadrature Formula
The article explores Sard’s problem of constructing optimal quadrature formulas in the space W(4,0)2(0,1) by using Sobolev’s method. This problem involves two steps: first, calculating the norm of the error functional, and then finding the minimum of this norm by the coefficients of the quadrature formulas.
Kh.M. Shadimetov, A.K. Boltaev
openaire +1 more source
Optimal quadrature formulae on the real line
Quadrature formulas with equidistant nodes on the real line, involving a sequence of derivatives are treated. In this class, an optimal quadrature formula is obtained for the Sobolev space of functions with an additional restriction on its Fourier transforms. An explicit expression for the error is given.
openaire +2 more sources
ABSTRACT Background Hyperpolarized 129Xe MRI faces technical challenges including low signal‐to‐noise ratio and breath‐hold constraints. Current literature focuses on proprietary deep learning methods or image‐domain enhancements. Purpose To present a comprehensive evaluation of transformer and hybrid CNN‐transformer architectures integrating dual ...
Ramtin Babaeipour +3 more
wiley +1 more source
Aplication of Peano and Sard kernel for error term of quadrature and cubature formula
In the present work we study the expressing of errors of quadrature and cubature formulae by Peano and Sard kernel. Firstly the Peano kernel of a quadrature formula and its generalization are defined, either are shown on the examples.
Valešová, Petra
core +1 more source
Schematic representation of hemp‐, glass‐, and carbon‐based laminated composite curved beams, including different stacking sequences and their vibration response. ABSTRACT In recent years, increasing environmental awareness has stimulated growing interest in natural fiber‐reinforced composites (NFRCs) due to their eco‐friendly composition ...
Aykut Çetin, Hasan Kurtaran
wiley +1 more source
Graphical abstract of the (q,τ)$$ \left(q,\tau \right) $$‐deformed kernel framework for quantum‐inspired learning and biomedical signal analysis ABSTRACT This paper introduces a weighted (q,τ)$$ \left(q,\tau \right) $$‐deformed Gram matrix framework for quantum‐inspired learning systems, with particular emphasis on applications in biomedical signal ...
Rabha W. Ibrahim +2 more
wiley +1 more source
Robust Control Using a Matrix Converter to Enhance Wind Turbine Systems
This study uses a more efficient and effective solution to improve the operational performance of a wind turbine‐based power system. This system uses a doubly fed induction generator and relies on a matrix converter and fractional‐order proportional–integral controller.
Sihem Ghoudelbourk +4 more
wiley +1 more source

