Results 71 to 80 of about 21,724 (205)

Coaxial Dipole Array With Switching Transmit Sensitivities for Ultrahigh Field MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To investigate dipole antennas with electronically switchable transmit field patterns to improve flip angle homogeneity in ultra‐high field MRI. Methods Reconfigurable dipole elements that could produce two distinct electronically switchable B1+$$ {B}_1^{+} $$ field profiles were conceptualized and constructed. Eight such elements were
Dario Bosch, Georgiy A. Solomakha, Felix Glang, Martin Freudensprung, Nikolai Avdievich, Klaus Scheffler   +5 more
wiley   +1 more source

Research on Dynamic Load Identification Based on Explicit Wilson-θ and Improved Regularization Algorithm

Shock and Vibration, 2019
In the research of dynamic load identification, the method of obtaining kernel function matrix is usually rather cumbersome. To solve this problem, an explicit dynamic load identification algorithm based on the Wilson-θ (DLIAEW) method is proposed to ...
Yuchuan Fan, Chunyu Zhao, Hongye Yu
doaj   +1 more source

Necessary conditions for variational regularization schemes

, 2013
We study variational regularization methods in a general framework, more precisely those methods that use a discrepancy and a regularization functional.
Bakushinskii˘ A B, Ben-Israel A, Benning M, Bertero M, Boyd S, Brune C, Dirk Lorenz, Engl H W, Flemming J, Flemming J, Franklin S P, Grasmair M, Grasmair M, Hofmann B, Ivanov V K, Kisyński J, Morozov V A, Nadja Worliczek, Pöschl C, Resmerita E, Resmerita E, Scherzer O, Tanana V P, Tikhonov A N, van den Berg E Friedlander M P, Werner F Hohage T   +25 more
core   +1 more source

An iterative method for Tikhonov regularization with a general linear regularization operator

Journal of Integral Equations and Applications, 2010
To solve a large scale ill-posed linear least squares problem \(Ax=b\) with \(A\in {\mathbb C}^{m\times n}\), a general regularization is proposed in which one has to minimize \(\|Ax-b\|^2+\mu\|Lx\|^2\) with regularization parameter \(\mu>0\) and regularization operator \(L\).
Hochstenbach, Michiel E., Reichel, Lothar   +1 more
openaire   +4 more sources

Quantitative Diffusion and T2 Mapping Using RF‐Modulated Phase‐Based Gradient Echo Imaging

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To introduce and evaluate the feasibility of a novel RF‐phase modulated gradient echo (GRE) method for quantitative diffusion MRI, aimed at mitigating geometric distortion and enabling high‐resolution 3D quantitative diffusion/T2 mapping as a complementary alternative to conventional DWI.
Daiki Tamada, Ali Pirasteh, David F. Jarrard, Diego Hernando, Scott B. Reeder   +4 more
wiley   +1 more source

Tikhonov regularization method for identifying the space-dependent source for time-fractional diffusion equation on a columnar symmetric domain

Advances in Difference Equations, 2020
In this paper, we deal with the inverse problem of identifying the unknown source of time-fractional diffusion equation on a columnar symmetric domain. This problem is ill-posed.
Fan Yang, Pan Zhang, Xiao-Xiao Li, Xin-Yi Ma   +3 more
doaj   +1 more source

Spatiotemporal Assessment of Groundwater Interactions With a Regulated River: A Case Study of the Nechako River, Canada

River Research and Applications, EarlyView.
ABSTRACT Regulated rivers represent complex hydrological systems where groundwater–surface water interactions are governed by natural conditions and human interventions. This study investigates the spatiotemporal dynamics of groundwater–surface water exchanges in the Nechako River, British Columbia (Canada), using numerical simulations.
Milad Fakhari, John Gray, Avery Dextrase, Andre St‐Hilaire, Richard Martel   +4 more
wiley   +1 more source

Numerical Study of the Inverse Problem of Generalized Burgers–Fisher and Generalized Burgers–Huxley Equations

Advances in Mathematical Physics, 2021
In this paper, the boundary value inverse problem related to the generalized Burgers–Fisher and generalized Burgers–Huxley equations is solved numerically based on a spline approximation tool. B-splines with quasilinearization and Tikhonov regularization
Javad Alavi, Hossein Aminikhah
doaj   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma, Ashutosh Sharma, Alexey Tselykh, Alexander Bozhenyuk, Byung‐Gyu Kim   +4 more
wiley   +1 more source

Primenenie metoda regulyarizatsii Tikhonova dlya opredeleniya ostatochnykh napryazheniy

Structural Mechanics of Engineering Constructions and Buildings, 2009
Application of the Tikhonov Regularization for residual stresses determination Fimkin A.I. The problem of determining the technological residual stresses in the volume of railway rails is considered.
ALEKSANDR IVANOVICh FIMKIN
doaj