Results 71 to 80 of about 9,083 (186)

Complementary Sensitivity of Fixed‐Time and Fixed‐Oscillation Regimes to Exchange and Structural Disorder in the Human Brain Revealed Using Oscillating‐Gradient Diffusion MRI With Ultra‐Strong Gradients

Magnetic Resonance in Medicine, Volume 95, Issue 6, Page 3429-3444, June 2026.
ABSTRACT Purpose Oscillating‐gradient spin‐echo (OGSE) diffusion MRI probes cell geometry and membrane integrity through the frequency‐dependence of kurtosis, but prior studies have reported inconsistent findings depending on how frequency is varied. We compared frequency‐dependent kurtosis in the human brain under two regimes: varying frequency with ...
Dongsuk Sung, Kwok‐Shing Chan, Julianna Gerold, Wen Zhong, Jialan Zheng, Qiyuan Tian, Hua Guo, Susie Y. Huang, Hong‐Hsi Lee   +8 more
wiley   +1 more source

Nonnegative Factorization of Diffusion Tensor Images and Its Applications [PDF]

, 2011
This paper proposes a novel method for computing linear basis images from tensor-valued image data. As a generalization of the nonnegative matrix factorization, the proposed method aims to approximate a collection of diffusion tensor images using nonnegative linear combinations of basis tensor images.
Yuchen, Xie, Jeffrey, Ho, Baba C, Vemuri
openaire   +2 more sources

An L1-and-L2-regularized nonnegative tensor factorization for power load monitoring data imputation

Frontiers in Energy Research
As smart grid advance, Power Load Forecasting (PLF) has become a research hotspot. As the foundation of the forecasting model, the Power Load Monitoring (PLM) data takes on great importance due to its completeness, reliability and accuracy.
Xing Luo, Zijian Hu, Zhoujun Ma, Zhan Lv, Qu Wang, Aoling Zeng   +5 more
doaj   +1 more source

Detecting the community structure and activity patterns of temporal networks: a non-negative tensor factorization approach.

PLoS ONE, 2014
The increasing availability of temporal network data is calling for more research on extracting and characterizing mesoscopic structures in temporal networks and on relating such structure to specific functions or properties of the system. An outstanding
Laetitia Gauvin, André Panisson, Ciro Cattuto   +2 more
doaj   +1 more source

Block Coordinate Descent for Sparse NMF [PDF]

, 2013
Nonnegative matrix factorization (NMF) has become a ubiquitous tool for data analysis. An important variant is the sparse NMF problem which arises when we explicitly require the learnt features to be sparse.
Calhoun, Vince D., Hayes, Thomas P., Pearlmutter, Barak A., Plis, Sergey M., Potluru, Vamsi K., Roux, Jonathan Le   +5 more
core   +3 more sources

Algorithms for Positive Semidefinite Factorization

, 2017
This paper considers the problem of positive semidefinite factorization (PSD factorization), a generalization of exact nonnegative matrix factorization. Given an $m$-by-$n$ nonnegative matrix $X$ and an integer $k$, the PSD factorization problem consists
Gillis, Nicolas, Glineur, François, Vandaele, Arnaud   +2 more
core   +1 more source

Nonlinear Model Order Reduction on Polynomial Manifolds for Computational Homogenisation Problems

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT Model order reduction (MOR) techniques utilising nonlinear approximation spaces can search for solutions to computational homogenisation problems on low‐dimensional approximation spaces. In combination with hyperreduction techniques, this allows for computations on representative volume elements (RVEs) to be accelerated by multiple orders of ...
Erik Faust, Lisa Scheunemann
wiley   +1 more source

Clinically Deployable Handwriting Biomarkers of Parkinson's Disease via Multiscale Attention and Bayesian–Genetic Optimization

Brain and Behavior, Volume 16, Issue 5, May 2026.
Tablet‐based handwriting tasks (spiral, meander, and wave) are transformed into unified images and analyzed using PD‐MGMA‐DSCNN, a lightweight multiscale gated attention network. Bayesian–genetic optimization improves performance, while SHAP attribution maps provide interpretable handwriting biomarkers for Parkinson's disease screening.
Khosro Rezaee, Ali Khalili Fakhrabadi
wiley   +1 more source

How to Visualize Computational Mechanics: Animating Finite Elements, Continuum Mechanics, and Tensor Calculus

Computer Applications in Engineering Education, Volume 34, Issue 3, May 2026.
ABSTRACT Computational mechanics is inherently complex, as the underlying physical processes evolve in three spatial dimensions and time. Thus, intuitive visualizations in traditional lecture notes or on blackboards are challenging. This motivates the use of animation software to illustrate time‐dependent three‐dimensional phenomena, which complement ...
Moritz Flaschel
wiley   +1 more source

Informed Dictionary‐Guided Monte Carlo Inversion for Robust and Reproducible Multidimensional MRI

Magnetic Resonance in Medicine, Volume 95, Issue 5, Page 2947-2962, May 2026.
ABSTRACT Purpose To develop a robust and efficient multidimensional MRI (MD‐MRI) data processing framework for accurately estimating joint frequency‐dependent diffusion‐relaxation distributions, while overcoming computational limitations and noise instability inherent to Monte Carlo (MC) inversion.
Joon Sik Park, Eppu Manninen, Yihong Yang, Dan Benjamini   +3 more
wiley   +1 more source