Results 61 to 70 of about 26,367 (267)

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Real‐Time and Non‐Invasive Detection of Respiratory Viral Infections Using an Intelligent Odor Monitoring System (IOMS)

Advanced Science, EarlyView.
An intelligent odor monitoring system integrates an IVC animal model, gas sensor array, real‐time resistance readout, and machine‐learning analysis to continuously monitor infection‐associated odor changes. The platform captures longitudinal sensor responses, distinguishes infected from healthy states, and supports early‐stage respiratory viral ...
Yajie Shen, Weifeng Yuan, Long Li, Yucheng Zheng, Kenan Liu, Hegeng Li, Hua‐Yao Li, Yongliang Zhao, Binzhou Ying, Lanpeng Guo, Wenjian Zhang, Shu‐Ming Kuo, Zirui Zhang, Yufan Deng, Bohan Yin, Zhaocheng Luo, Ke Xu, Huan Liu   +17 more
wiley   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

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

Хімічна характеристика біомембран гранулоцитів периферичної крові у часто хворих дітей із синдромом вегетативних дисфункцій

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, Vira Olenych, Tetiana Liadova, Olena Ognivenko, Angelina Soloviova   +4 more
doaj   +1 more source

Host‐Specific Interactions Between Staphylococcus aureus and Pseudomonas aeruginosa Impair Epithelial Repair in Chronic Rhinosinusitis

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background Chronic rhinosinusitis (CRS) is frequently associated with polymicrobial biofilms involving Staphylococcus aureus and Pseudomonas aeruginosa. Interactions between these organisms are thought to influence disease severity, but the epithelial effects of exoproteins derived from patient‐matched cocultures remain poorly defined ...
Xiaohan Sun, Mahnaz Ramezanpour, George Bouras, Emma Barry, Alkis J. Psaltis, Peter‐John Wormald, Sarah Vreugde   +6 more
wiley   +1 more source

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
doaj   +1 more source

On Stewart's Perturbation Theorem for SVD

CoRR
This 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, Ninoslav Truhar, Lei-Hong Zhang   +2 more
openaire   +3 more sources

Perivascular Spaces as Determinants of Amyloid, Tau, and Vascular Biomarker Progression

Annals of Neurology, EarlyView.
Objective Magnetic resonance imaging (MRI)‐visible enlarged perivascular spaces (PVS) are markers of cerebral small vessel disease (SVD) and aging, processes implicated in both neurodegenerative and cerebrovascular pathologies. However, longitudinal positron emission tomography (PET) studies examining PVS as a mechanism underlying Alzheimer's disease ...
Audrey Low, Jeffrey L. Gunter, Mingzhao Hu, Sheelakumari Raghavan, Scott A. Przybelski, Christopher G. Schwarz, Kejal Kantarci, Val J. Lowe, Ronald C. Petersen, Jonathan Graff‐Radford, Clifford R. Jack Jr, Prashanthi Vemuri   +11 more
wiley   +1 more source

Quantum Algorithms for Tensor-SVD

2024 IEEE International Conference on Quantum Computing and Engineering (QCE)
9 pages, 8 ...
Jezer Jojo, Ankit Khandelwal, M. Girish Chandra   +2 more
openaire   +2 more sources

Integrating machine learning, deep learning, and image analysis for seed species classification

Applications in Plant Sciences, EarlyView.
Abstract Premise The growing demand for wildflower seeds in ecological restoration requires reliable species identification, yet current market products often contain heterogeneous species. As seed identification is labor‐intensive and requires advanced botanical knowledge, we evaluated multiple segmentation and classification approaches to determine ...
Jonathan Ashworth, Eloise Barrett, Rebonto Haque, Ben Wildey, Anthony Hall, Felix Shaw, Jose J. De Vega   +6 more
wiley   +1 more source