Results 211 to 220 of about 159,459 (289)

Sampling of non‐Gaussian Ensemble Average Propagators for the simulation of diffusion magnetic resonance images

Magnetic Resonance in Medicine, EarlyView.
Abstract Purpose (a) To design a methodology for drawing random samples of any Ensemble Average Propagator (EAP) (b) to modify the KomaMRI simulator to accommodate them as realistic spin movements to simulate diffusion MRI (dMRI) and (c) to compare these simulations with those based on the Diffusion Tensor (DT) model.
Justino R. Rodríguez‐Galván, Pablo Villacorta‐Aylagas, Susana Merino‐Caviedes, Federico Simmross‐Wattenberg, Carlos Castillo‐Passi, Pablo Irarrazaval, Antonio Tristán‐Vega, Carlos Alberola‐López   +7 more
wiley   +1 more source

Stability Results for Scattered Data Interpolation by Trigonometric Polynomials

, 2007
Stefan Kunis, Daniel Potts
openalex   +2 more sources

Fast 3D UTE in vivo T1 and T2*$$ {\mathrm{T}}_2^{\ast } $$ mapping of fast relaxing knee tissues at 3 T

Magnetic Resonance in Medicine, EarlyView.
Abstract Purpose UTE MR imaging captures quantitative signals in fast‐relaxing tissues, enabling anatomical visualization and quantitative assessment of T1 and T2*$$ {\mathrm{T}}_2^{\ast } $$ relaxation times. However, the clinical application of quantitative UTE MRI is limited by long acquisition times.
Maik Rothe, Selina Riedel, Anne Slawig, Andreas Deistung, Klaus Bohndorf, Richard Brill, Walter A. Wohlgemuth, Alexander Gussew   +7 more
wiley   +1 more source

Feedrate Fluctuation Minimization for NURBS Tool Path Interpolation Based on Arc Length Compensation and Iteration. [PDF]

Micromachines (Basel)
Liu X, Yu P, Chen H, Peng B, Wang Z, Liang F.   +5 more
europepmc   +1 more source

Multivariate Polynomial Factorization by Interpolation Method

, 2007
Jingzhong Zhang, Yong Feng
openalex   +2 more sources

Fatigue Life Prediction Under Multiaxial Loading Using Machine Learning and Dependency‐Aware Sensitivity Analysis

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Accurate prediction of fatigue life under multiaxial loading conditions remains challenging due to complex stress–strain interactions. In this study, we integrate machine‐learning (ML) regression with variance‐based sensitivity analysis (SA) to predict multiaxial fatigue life in CuZn37 brass and to identify the dominant mechanical factors ...
Tran C. H. Nguyen, Xiaoying Zhuang, Anh Tuan Le, Van Hai Luong, N. Vu‐Bac   +4 more
wiley   +1 more source

Obtaining Exact Interpolation Multivariate Polynomial by Approximation

, 2008
Yong Feng, Jingzhong Zhang, Xiaolin Qin, Xun Yuan   +3 more
openalex   +2 more sources

Transient Dynamic Analysis of Piezoelectric Solids by the Spectral Integrated Neural Networks With Large Time Steps

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT This study presents a novel neural network architecture called spectral integrated neural networks (SINNs), which combines physics‐informed neural networks (PINNs) with time‐spectral integration techniques to efficiently solve two‐ and three‐dimensional dynamic piezoelectric problems.
Zijie Song, Haodong Ma, Wenzhen Qu, Yan Gu   +3 more
wiley   +1 more source

Machine learning-driven stability analysis of eco-friendly superhydrophobic graphene-based coatings on copper substrate. [PDF]

Sci Rep
Mamgain HP, Diamanti MV, Pati PR, Mohamed ME, Pandey JK, Bhardwaj N, Vasudeva A, Kanan M.   +7 more
europepmc   +1 more source

A shape-preserving quasi-interpolation operator satisfying quadratic polynomial reproduction property to scattered data

, 2008
Renzhong Feng, Feng Li
openalex   +1 more source