Results 101 to 110 of about 27,115 (309)

Subspace Learning for Dual High-Order Graph Learning Based on Boolean Weight

Entropy
Subspace learning has achieved promising performance as a key technique for unsupervised feature selection. The strength of subspace learning lies in its ability to identify a representative subspace encompassing a cluster of features that are capable of
Yilong Wei, Jinlin Ma, Ziping Ma, Yulei Huang   +3 more
doaj   +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

Elevator dynamic monitoring and early warning system based on machine learning algorithm

IET Networks, EarlyView., 2022
In order to monitor and warn the elevator dynamics, in this work, the machine learning algorithm is introduced, and the particle swarm algorithm is used to perfect the model. The model is optimised, and the experimental comparison shows that the optimisation of the model parameters can further improve the accuracy of the elevator load prediction. Then,
Shuai Zhang, Qiangguo Yin, Jinlong Wang
wiley   +1 more source

Parameter Reduction of Composite Load Model Using Active Subspace Method

, 2021
Zixiao Ma, Bai Cui, Zhaoyu Wang, Dongbo Zhao   +3 more
openalex   +2 more sources

On data preprocessing for subspace methods

Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187), 2002
In modern data analysis often the first step is to perform some data preprocessing, e.g. detrending or elimination of periodic components of known period length. This is normally done using least squares regression. Only afterwards black box models are estimated using either pseudo-maximum-likelihood methods, prediction error methods or subspace ...
openaire   +4 more sources

Clinical Feasibility of Deep Learning Contrast Synthesis From MR Fingerprinting in Knee Osteoarthritis

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Magnetic Resonance Fingerprinting (MRF) enables rapid quantitative parameter mapping from which synthetic clinical contrast images can be derived using deep learning (DL). Purpose This study evaluates the reliability and interchangeability of MRF‐derived synthetic knee MRI relative to conventional MRI in patients with osteoarthritis.
Mika T. Nevalainen, Olli Nykänen, Jyri Järvinen, Antti Kemppainen, Lasse Räsänen, Victor Casula, Martijn Cloos, Riccardo Lattanzi, Mikko J. Nissi, Miika T. Nieminen   +9 more
wiley   +1 more source

A Novel Subspace Based DOA Estimation Method for Vehicular Application [PDF]

, 2016
JuQi Shi, Xiaoyou Yu, Heng Ye, Yan Zhou, Nengda Ci, Pengshuai Sun, Zhinian Luo   +6 more
openalex   +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

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