Results 91 to 100 of about 49,338 (223)

Coupled Clustering in Hierarchical Matrices for the Oseen Problem

International Journal for Numerical Methods in Fluids, EarlyView.
Fluid flow problems can be modelled by the Navier‐Stokes or, after linearization, by the Oseen equations. Their discretization results in linear systems in saddle point form which are typically very large and need to be solved iteratively. We propose a novel block structure for hierarchical matrices which is then used to build preconditioners for the ...
Jonas Grams, Sabine Le Borne
wiley   +1 more source

Tensioned Multi-View Ordered Kernel Subspace Clustering

Applied Sciences
Multi-view data improve the effectiveness of clustering tasks, but they often encounter complex noise and corruption. The missing view of the multi-view samples leads to serious degradation of the clustering model’s performance.
Liping Chen, Gongde Guo
doaj   +1 more source

Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices

Journal of Forecasting, EarlyView.
ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer, Kristofer Månsson, Pär Sjölander, Gazi Salah Uddin   +3 more
wiley   +1 more source

Reduced occurrence of alpha waves during resting state predicts high attention‐deficit/hyperactivity disorder traits in young adults

JCPP Advances, EarlyView.
Abstract Background Attention‐deficit/hyperactivity disorder (ADHD) is a neurodevelopmental condition with significant cognitive and social impacts. Identifying reliable biomarkers for ADHD is crucial for developing personalised therapies. Electroencephalography (EEG) alpha oscillations (8–12 Hz) have been suggested as a potential biomarker, but ...
Julio Rodriguez‐Larios, Ümit Aydin, Gráinne McLoughlin   +2 more
wiley   +1 more source

Cardiac MR Fingerprinting at 0.55T Using a Deep Image Prior for Joint T1, T2, and M0 Mapping

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background 0.55T systems offer unique advantages and may support expanded access to cardiac MRI. Purpose To assess the feasibility of 0.55T cardiac MR Fingerprinting (MRF), leveraging a deep image prior reconstruction to mitigate noise. Study Type Phantom and prospective in vivo assessment.
Zhongnan Liu, Zexuan Liu, Imran Rashid, Mauricio Stanzione Galizia, Christopher Scoma, William Truesdell, Prachi Agarwal, Nicole Seiberlich, Liyue Shen, Jesse Hamilton   +9 more
wiley   +1 more source

Sensory and chemical profiles of bread derived from the novel semi‐ and wholegrain flour enrichment of Triticum aestivum L. old genotypes with organic stinging nettle

JSFA reports, Volume 5, Issue 3, Page 104-112, March 2025.
Abstract Background Bread made from refined Triticum aestivum L. flour, a staple food in large parts of the world, is considered a nutrient security risk. Strategies used to enhance the nutritional and functional properties of wheat‐derived food products include the use of semi‐ or wholegrain flour, old genotypes, and enrichment through fortification ...
Ilaria Marotti, Elettra Frassineti, Mattia Alpi, Giovanni Dinelli   +3 more
wiley   +1 more source

Block-Constraint Laplacian-Regularized Low-Rank Representation and Its Application for Cancer Sample Clustering Based on Integrated TCGA Data

Complexity, 2020
Low-Rank Representation (LRR) is a powerful subspace clustering method because of its successful learning of low-dimensional subspace of data. With the breakthrough of “OMics” technology, many LRR-based methods have been proposed and used to cancer ...
Juan Wang, Jin-Xing Liu, Chun-Hou Zheng, Cong-Hai Lu, Ling-Yun Dai, Xiang-Zhen Kong   +5 more
doaj   +1 more source

PNNL‐TUNAMELT: Toward automating the detection of interactions with marine energy devices using acoustic camera sensors

Limnology and Oceanography: Methods, EarlyView.
Abstract Acoustic cameras, or imaging sonars, are often used to monitor marine energy sites in regions where the water is too dark or turbid for optical sensing. To do so more effectively, scientists are investigating automated detection methodologies to use on these data.
Theodore Nowak, Garrett Staines, Blerim Abdullai   +2 more
wiley   +1 more source

Fuzzy Subspace Clustering [PDF]

, 2009
In clustering we often face the situation that only a subset of the available attributes is relevant for forming clusters, even though this may not be known beforehand. In such cases it is desirable to have a clustering algorithm that automatically weights attributes or even selects a proper subset.
openaire   +1 more source

Dynamic Contrast Enhanced—Magnetic Resonance Fingerprinting (DCE‐MRF) Improves Detection of Induced Vascular Perfusion Reduction in a Mouse Breast Cancer Model

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Dynamic contrast‐enhanced MRI (DCE‐MRI) can assess tumor perfusion using pharmacokinetic models. However, poor DCE‐MRI reproducibility from reliance on conventional T1‐weighted MRI has limited clinical translation. We evaluated whether Dynamic Contrast Enhanced‐Magnetic Resonance Fingerprinting (DCE‐MRF), which directly generates ...
Christina J. MacAskill, Bernadette O. Erokwu, Yuran Zhu, Guanhua Wang, Andrew Dupuis, Barbara J. Schiemann, Gopalakrishnan Ramamurthy, Chetan B. Dhakan, Michael Kavran, Chunying Wu, William P. Schiemann, Yilun Sun, Mark A. Griswold, Xin Yu, Mark D. Pagel, Chris A. Flask   +15 more
wiley   +1 more source