Results 61 to 70 of about 3,041 (214)
Advanced Intelligent Discovery, EarlyView.Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley +1 more source
Advanced Intelligent Systems, EarlyView.A zero‐watermarking algorithm that combines a refined convolutional additive self‐attention vision transformer (CAS‐ViT) with a discrete wavelet transform variance‐based feature descriptor (DVFD) is proposed for protecting the privacy of medical images in mobile healthcare services.
Pei Liu +6 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
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Актуальні проблеми сучасної медицини, 2020 The problem of frequently ill children has extreme relevance in medical practice. A special group is FIC with autonomic dysfunction syndrome, born prematurely with perinatal damage of the central nervous system (CNS).
Mуkola Popov +4 more
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Multimorbidity and Associations with Cognition and Alzheimer's Disease Biomarkers
Annals of Neurology, EarlyView.Objective Multimorbidity, the coexistence of 2 or more chronic conditions, has been linked to cognitive aging and Alzheimer's disease (AD) and AD‐related dementias, yet the mechanisms remain unclear. We aimed to examine the associations of multimorbidity with cognition and biomarkers across multiple mechanistic pathways.
Xiaqing Jiang +45 more
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On Stewart's Perturbation Theorem for SVD
CoRRThis paper establishes a variant of Stewart's theorem (Theorem~6.4 of Stewart, {\em SIAM Rev.}, 15:727--764, 1973) for the singular subspaces associated with the SVD of a matrix subject to perturbations. Stewart's original version uses both the Frobenius and spectral norms, whereas the new variant uses the spectral norm and any unitarily invariant norm
Ren-Cang Li +2 more
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Application of the Non-Hermitian Singular Spectrum Analysis to the Exponential Retrieval Problem
Известия высших учебных заведений России: Радиоэлектроника, 2020 Introduction. In practical signal processing and its many applications, researchers and engineers try to find a number of harmonics and their frequencies in a time signal contaminated by noise. In this manuscript we propose a new approach to this problem.
D. J. Nicolsky, G. S. Tipenko
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Quantum Algorithms for Tensor-SVD
2024 IEEE International Conference on Quantum Computing and Engineering (QCE)9 pages, 8 ...
Jezer Jojo +2 more
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Journal of Applied Polymer Science, EarlyView.Size exclusion chromatography with UV–vis detection, combined with ultrasonication pretreatment, enables sensitive detection and quantification of back‐produced polymer at very low concentrations in produced water. This approach supports reliable polymer monitoring and offers a practical route to improve surveillance of polymer flooding performance ...
Eduardo José Creatto +6 more
wiley +1 more source
Revista Facultad de Ingeniería Universidad de Antioquia, 2009 Con el fin de clasificar la corrosividad de las diferentes atmósferas colombianas, como parte de un proyecto de investigación extenso [1], se expusieron placas de acero al carbono en 21 estaciones distribuidas a lo largo de la infraestructura eléctrica ...
Esteban Velilla +2 more
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