Results 121 to 130 of about 5,083,495 (228)
ABSTRACT Purpose This work proposes a method for the simultaneous estimation of the exchange‐dependent relaxation rate Rex$$ {R}_{ex} $$ and the longitudinal relaxation time T1$$ {T}_1 $$ from a single acquisition. Methods A novel acquisition scheme was developed that combines CEST saturation with an inversion pulse and a Look‐Locker readout to capture
Markus Huemer +6 more
wiley +1 more source
Ultimate Intrinsic SNR in the Torso of Realistic Body Models
ABSTRACT Purpose This work aims to investigate how the ultimate intrinsic signal‐to‐noise ratio (uiSNR) varies with increasing static magnetic field B0$$ {B}_0 $$ in the torso of realistic body models. Methods A dipole cloud was positioned around the realistic body model and randomly excited.
Yuting Wang +4 more
wiley +1 more source
This work demonstrates the application of neural ordinary differential equations (neural ODEs) for learning hydrocracking reaction kinetics directly from data, achieving robust predictions under noise and sparsity while preserving mechanistic interpretability through gradient‐based analysis of temperature‐ and concentration‐dependent reaction rates ...
Souvik Ta +2 more
wiley +1 more source
A fast closed-form approximate iterative fitting algorithm based on laser absorption spectrum
This paper presents a novel approach—an efficient closed-form approximation iterative fitting algorithm based on laser absorption spectra. Through this closed-form approximation iterative fitting, key parameters such as peak value, spectral line width ...
Yudi Chen +7 more
doaj +1 more source
Income–Well‐Being Gradient in Sickness and Health
ABSTRACT We propose a method for studying the value of insurance. For this purpose, we analyze the well‐being of the same individuals, comparing sick and healthy years, using German panel survey data on life satisfaction. We impose structure on the income–well‐being gradient by fitting a flexible utility function to the data, focusing on the ...
Ohto Kanninen +2 more
wiley +1 more source
This paper investigates the mathematical modelling of cybercrime attacks on multiple devices connected to the server. This model is a very successful way for cybercrime, bio-mathematics, and artificial intelligence to investigate and comprehend the ...
Muhammad Sulaiman +4 more
doaj +1 more source
A Multi-Layer Perceptron (MLP) defines a family of artificial neural networks often used in TS modeling and forecasting. Because of its "black box" aspect, many researchers refuse to use it.
Balu, Aurélia +6 more
core +1 more source
Self‐Navigated, Retrospective, Data‐Consistent Motion Correction for MPnRAGE
ABSTRACT Purpose To extend and automate a data‐consistent, self‐navigated motion‐correction method for 3D radial T1‐weighted imaging. Methods This method incorporated rigid‐body motion effects into the forward model, solving for parameters that maximize consistency with the data.
John Podczerwinski +4 more
wiley +1 more source
Generating Stable and Metastable Critical Points in Uncertain Systems via Flow‐Based Models
ABSTRACT This work proposes the use of conditional flow‐based generative models to learn an approximation of the distribution of the critical points of a cost function. This approximation is used to incrementally identify all critical points, in the feasible domain of said function, by iteratively alternating the sampling of the distribution and the ...
Callum Wilson, Massimiliano Vasile
wiley +1 more source

