Results 71 to 80 of about 2,509 (175)

Structural brain network measures are superior to vascular burden scores in predicting early cognitive impairment in post stroke patients with small vessel disease

NeuroImage: Clinical, 2019
Objectives: In this cross-sectional study, we aimed to explore the mechanisms of early cognitive impairment in a post stroke non-dementia cerebral small vessel disease (SVD) cohort by comparing the SVD score with the structural brain network measures ...
Jing Du, Yao Wang, Nan Zhi, Jieli Geng, Wenwei Cao, Ling Yu, Jianhua Mi, Yan Zhou, Qun Xu, Wei Wen, Perminder Sachdev   +10 more
doaj   +1 more source

Tensor-Based Low-Rank and Sparse Prior Information Constraints for Hyperspectral Image Denoising

IEEE Access, 2020
Hyperspectral data have been widely used in various fields due to its rich spectral and spatial information in recent years. Yet, hyperspectral images are always tainted by a variety of mixed noises.
Guxi Wang, Hongwei Han, Emmanuel John M. Carranza, Si Guo, Ke Guo, Keyan Xiao   +5 more
doaj   +1 more source

The 2025 Mw 7.6 Aomori‐Oki Megathrust Sequence and a Slip‐Parallel Seismic Belt to the Trench

Geophysical Research Letters, Volume 53, Issue 11, 16 June 2026.
Abstract The 2025 Mw 7.6 Aomori‐Oki earthquake nucleated near the 1968 Mw 8.3 Tokachi‐Oki rupture area. Our waveform inversion reveals large slip (>1 m) extending ∼40 km northward from the hypocenter, overlapping the inferred 1968 northern asperity. Minor secondary slip (0.2–0.6 m) was resolved ∼60 km updip, and high‐precision relocations show that ...
Keisuke Yoshida, Masaoki Uno, Dan Bassett   +2 more
wiley   +1 more source

Internet traffic data recovery via a low-rank spatio-temporal regularized optimization approach without d-th order T-SVD

Frontiers in Applied Mathematics and Statistics
Accurate recovery of Internet traffic data can mitigate the adverse impact of incomplete data on network task processes. In this study, we propose a low-rank recovery model for incomplete Internet traffic data with a fourth-order tensor structure ...
Yuxuan Duan, Chen Ling, Jinjie Liu, Xinmin Yang   +3 more
doaj   +1 more source

Diffusion tensor image segmentation of the cerebrum provides a single measure of cerebral small vessel disease severity related to cognitive change

NeuroImage: Clinical, 2017
Cerebral small vessel disease (SVD) is the primary cause of vascular cognitive impairment and is associated with decline in executive function (EF) and information processing speed (IPS).
Owen A. Williams, Eva A. Zeestraten, Philip Benjamin, Christian Lambert, Andrew J. Lawrence, Andrew D. Mackinnon, Robin G. Morris, Hugh S. Markus, Rebecca A. Charlton, Thomas R. Barrick   +9 more
doaj   +1 more source

Robust Constrained Partial Least Squares: A Robust Integrated Algorithm for Multivariate Regression in the Presence of Outliers, Interfering Analytes, and Structured External Influences

Journal of Chemometrics, Volume 40, Issue 6, June 2026.
ABSTRACT Partial least squares (PLS) regression is widely used for multivariate calibration in high‐dimensional and collinear settings. However, classical PLS relies on least squares optimization and is therefore sensitive to anomalous observations, leverage points, and structured spectral interferences.
Puneet Mishra
wiley   +1 more source

Row‐Aware Randomized SVD With Applications

Numerical Linear Algebra with Applications, Volume 33, Issue 3, June 2026.
ABSTRACT The randomized singular value decomposition proposed in [28] has certainly become one of the most well‐established randomization‐based algorithms in numerical linear algebra. The key ingredient of the entire procedure is the computation of a subspace which is close to the column space of the target matrix A∈ℝm×n$$ \mathbf{A}\in {\mathbb{R}}^{m\
Davide Palitta, Sascha Portaro
wiley   +1 more source

A Tensor-Based Subspace Approach for Bistatic MIMO Radar in Spatial Colored Noise

Sensors, 2014
In this paper, a new tensor-based subspace approach is proposed to estimate the direction of departure (DOD) and the direction of arrival (DOA) for bistatic multiple-input multiple-output (MIMO) radar in the presence of spatial colored noise.
Xianpeng Wang, Wei Wang, Xin Li, Junxiang Wang   +3 more
doaj   +1 more source

Building a Digital Twin for Material Testing: Model Reduction and Data Assimilation

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT The rapid advancement of industrial technologies, data collection, and handling methods has paved the way for the widespread adoption of digital twins (DTs) in engineering, enabling seamless integration between physical systems and their virtual counterparts.
Rubén Aylwin, Nina Beranek, Gajendra Babu Budihala, Matthias Mettenleiter, Goksu Oruc, Karsten Urban   +5 more
wiley   +1 more source

Multishot Compressive Hyperspectral Imaging Based on Tensor Fibered Rank Minimization and Its Primal-Dual Algorithm

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Coded aperture snapshot spectral imaging (CASSI) compresses tens to hundreds of spectral bands of the hyperspectral image (HSI) to a 2-D compressive measurement.
Ting Xie, Xudong Kang, Renwei Dian, Tonghan Wang, Licheng Liu   +4 more
doaj   +1 more source