Results 191 to 200 of about 74,563 (305)

Acoustic Emission Signal Characterisation of Failure Mechanisms in CFRP Composites Using Dual-Sensor Approach and Spectral Clustering Technique. [PDF]

Polymers (Basel), 2022
Šofer M, Šofer P, Pagáč M, Volodarskaja A, Babiuch M, Gruň F.   +5 more
europepmc   +1 more source

Tailored Hierarchical Porous Copper Architectures via Three Dimensional Printing and Pressure‐less Sintering for Next‐Generation Lithium‐Metal Batteries

Advanced Engineering Materials, EarlyView.
A hierarchical porous copper current collector is fabricated via three‐dimensional printing combined with pressureless sintering to stabilize lithium metal anodes. The interconnected architecture lowers local current density, guides uniform Li deposition within pores, and suppresses dendrite growth.
Alok Kumar Mishra, Mukul Shukla
wiley   +1 more source

Spectral clustering identifies patterns of chiropractic care in a national longitudinal cohort. [PDF]

JAMIA Open
Ray M, Fang SY, Lisi AJ, Romano PS.
europepmc   +1 more source

Corrigendum: Spectral Clustering Algorithm for Cognitive Diagnostic Assessment. [PDF]

Front Psychol, 2021
Guo L, Yang J, Song N.
europepmc   +1 more source

Bootstrapping frequency domain tests in multivariate time series with an application to comparing spectral densities [PDF]

We propose a general bootstrap procedure to approximate the null distribution of nonparametric frequency domain tests about the spectral density matrix of a multivariate time series.
Paparoditis, Efstathios, Dette, Holger
core  

Air‐Pressure–Actuated Vibroacoustic Metamaterial With Tunable Bandgap: Design, Modeling, and Characterization

Advanced Engineering Materials, EarlyView.
This article presents the design, modeling, and characterization of air‐pressure–actuated programmable vibroacoustic metamaterials (PVAMM). The study focuses on leveraging air pressure to dynamically tune resonance frequencies for effective noise attenuation.
William Kaal, Michael M. Becker, Sarah C. L. Fischer   +2 more
wiley   +1 more source

Robust thalamic nuclei segmentation using spectral clustering of fiber orientation distributions. [PDF]

PLoS One
Das D, Iglehart C, Bilgin A, Saranathan M.   +3 more
europepmc   +1 more source

Establishment and application of risk classification model for lead in vegetables based on spectral clustering algorithms. [PDF]

Food Sci Nutr, 2022
Jiang TQ, Wang Z, Zhang QC, Wang ZZ, Cheng BL.   +4 more
europepmc   +1 more source

Compressive Spectral Clustering Toolbox

, 2016
The Compressive Spectral Clustering Toolbox is a Matlab toolbox implementing routines to reproduce experiments from the paper "Compressive Spectral Clustering", by N. Tremblay, G. Puy, P.
Gribonval, Rémi, Puy, Gilles, Tremblay, Nicolas, Vandergheynst, Pierre   +3 more
core  

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source