Results 151 to 160 of about 62,622 (323)

Local Polynomial Regression and Filtering for a Versatile Mesh‐Free PDE Solver

International Journal for Numerical Methods in Fluids, Volume 98, Issue 7, Page 804-839, July 2026.
A high‐order, mesh‐free finite difference method for solving differential equations is presented. Both derivative approximation and scheme stabilisation is carried out by parametric or non‐parametric local polynomial regression, making the resulting numerical method accurate, simple and versatile. Numerous numerical benchmark tests are investigated for
Alberto M. Gambaruto
wiley   +1 more source

Heuristic Analysis of Time Series Internal Structure

A method of analysis of Time Series Internal Structures based on Singular Spectrum Analysis is discussed. It has been shown that in the case when the Time Series contains deterministic additive components rank of the trajectory matrices equal to number ...
Alexander Milnikov, Cihan Mert
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KLASIFIKASI CITRA BATIK BESUREK BERBASIS SINGULAR VALUE DECOMPOSITION (SVD)

, 2016
Watermarking merupakan sebagai salah satu teknik perlindungan data citra digital. Metode watermarking digunakan adalah Singular Value Decomposition (SVD), Discrete Cosine Transform (DCT) dan Discrete Wavelet Transform (DWT). Proses watermarking dilakukan
Purwandari, Endina Putri, Puspitaningrum, Diyah, kurnia, gusria fitri   +2 more
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Decoding the Structural Complexity of Fungal α‐ and β‐Glucan Matrix via Statistical Analysis of Solid‐State NMR Chemical Shifts

Israel Journal of Chemistry, Volume 66, Issue 4, July 2026.
Solid‐state NMR combined with principal component analysis enables quantitative classification of fungal α‐ and β‐glucan architectures in intact cell walls, revealing conserved triple‐helical β‐1,3‐glucan conformations across species and predominantly bundled‐sheet α‐1,3‐glucan assemblies with condition‐dependent polymorphism. Statistical clustering of
Ankur Ankur, Cameron S. Vojvodin, Debkumar Debnath, Tuo Wang   +3 more
wiley   +1 more source

Singular Value Decomposition for Texture Analysis

, 2012
[[abstract]]Texture is an important characteristic of analyzing images. A variety of texture features have been proposed for texture discrimination, whereas a best set of texture features never exists.
J.H. Luo;C.C. Chen
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A MR Fingerprinting Development Kit for Quantitative 3D Brain Imaging

Journal of Magnetic Resonance Imaging, Volume 64, Issue 1, Page 209-217, July 2026.
ABSTRACT Background Magnetic resonance fingerprinting (MRF) is an emerging quantitative imaging technique that enables multiparametric tissue characterization, but its adoption has been hindered by the complexity of data acquisition and post‐processing. These technical and implementation challenges have limited its broader clinical deployment.
Rasim Boyacioglu, Thomas Kluge, Guido Buonincontri, Wei‐Ching Lo, Stephan Kannengiesser, Mathias Nittka, Arashdeep Kaur, Andrew Dupuis, Dan Ma, Chaitra Badve, Mark A. Griswold, Yong Chen   +11 more
wiley   +1 more source

Simulation‐Informed Evaluation of Microvascular Parameter Mapping for Diffusion MR Imaging of Solid Tumours

Magnetic Resonance in Medicine, Volume 96, Issue 1, Page 387-402, July 2026.
ABSTRACT Purpose We aim to inform the design of new diffusion MRI (dMRI) approaches for microvasculature quantification that enhance the biological specificity of imaging towards cancer. Methods We adopted simulation‐informed modelling of the vascular dMRI signal. We synthesised signals from 1500 synthetic vascular networks, for a variety of protocols (
Anna Kira Voronova, Olivia Prior, Athanasios Grigoriou, Francesc Salvà, Elena Elez, Luz M. Atlagich, Roser Sala‐Llonch, Marco Palombo, Els Fieremans, Dmitry S. Novikov, Raquel Perez‐Lopez, Francesco Grussu   +11 more
wiley   +1 more source

SVD-based incremental approaches for recommender systems

, 2015
Due to the serious information overload problem on the Internet, recommender systems have emerged as an important tool for recommending more useful information to users by providing personalized services for individual users.
X Zhou (5897804), J He (7713734), Guangyan Huang (13072050), Y Zhang (5998940)   +3 more
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Enhanced 2D Spiral Cine DENSE MRI Using Low‐Rank Denoising for Improved Apparent Signal‐to‐Noise Ratio, Spatial Resolution, Efficiency, Accuracy, and Accessibility

Magnetic Resonance in Medicine, Volume 96, Issue 1, Page 403-419, July 2026.
ABSTRACT Purpose To develop a denoising technique for displacement encoding with stimulated echoes (DENSE) MRI that improves spatial resolution, efficiency, and accuracy, and enhances accessibility by implementing DENSE MRI at 0.55 T. Methods We developed a low‐rank denoising technique, which leverages multidimensional spiral cine DENSE MRI data for ...
Shu‐Fu Shih, Yuxiao Wu, Siyue Li, Zhengyang Ming, Arutyun Pogosyan, Fei Han, Holden H. Wu, J. Paul Finn, Kim‐Lien Nguyen, Xiaodong Zhong   +9 more
wiley   +1 more source

Algorithm for singular value decomposition

, 1984
An iterative algorithm for the singular value decomposition (SVD) of a non-zero m x n matrix M is described and illustrated numerically.
Ross, D.C.
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