Results 91 to 100 of about 88,242 (260)

Oxidized MoS2‐Based Multifunctional Memristive Hardware for Energy‐Efficient mmWave Signal Processing and In‐Memory Matrix Multiplication

open access: yesAdvanced Functional Materials, EarlyView.
Thermally oxidized MoS2‐based radio‐frequency switches enable a multifunctional platform that unifies broadband RF switching and in‐memory computation. The device achieves a cutoff frequency of 33.2 THz with high energy efficiency and supports hardware‐aware signal processing.
Juho Son   +5 more
wiley   +1 more source

Transparent and Robust LiCl–Organohydrogel Triboelectric Nanogenerator With Deep Learning Assisted Sensing

open access: yesAdvanced Functional Materials, EarlyView.
Develop a LiCl–PEI–PAM hydrogel with 3000% stretchability and excellent optical transparency. Through comparative studies of various salts, confirm that LiCl is the most suitable salt for high TENG output. Achieve excellent freeze‐resistant, dry‐resistant, and rapid self‐healing (10 s) properties even in extreme environments. Balance ionic conductivity,
Hai Anh Thi Le   +6 more
wiley   +1 more source

Conformal Metallosaccharide Hybrid Films for Protecting Wood Surfaces From Environmental Damage

open access: yesAdvanced Functional Materials, EarlyView.
Ti‐ribose hybrid films fabricated by molecular layer deposition form a conformal and uniform coating on wood surfaces, which provides water repellence, dimensional stability, and resistance to acidic and alkaline environments, while preserving the natural appearance.
Wenwen Wang   +7 more
wiley   +1 more source

Thermally Pre‐Formed Reconfigurable Resistive Random‐Access Memory Crossbar Arrays: A Dual‐Mode Platform for Robust Physically Unclonable Functions and In‐Memory Computing

open access: yesAdvanced Functional Materials, EarlyView.
A reconfigurable RRAM platform utilizing thermally pre‐formed filaments (TPFs) is developed to realize robust hardware security. By exploiting the thermodynamic stochasticity of TPFs, exceptionally reliable physically unclonable functions (PUFs) are achieved.
Seongbin Kwon   +4 more
wiley   +1 more source

Surface electromyography–based hand movement recognition using the Gaussian mixture model, multilayer perceptron, and AdaBoost method

open access: yesInternational Journal of Distributed Sensor Networks, 2019
Human movement is closely linked with muscle activities. Research has indicated that predicting human movements with surface electromyography signals is feasible.
Shengli Zhou   +3 more
doaj   +1 more source

Parsimonious ultrametric Gaussian mixture models

open access: yesStatistics and Computing
AbstractGaussian mixture models represent a conceptually and mathematically elegant class of models for casting the density of a heterogeneous population where the observed data is collected from a population composed of a finite set of G homogeneous subpopulations with a Gaussian distribution.
Cavicchia, C, Vichi, M, Zaccaria, G
openaire   +3 more sources

Support‐Controlled Reaction Pathways via Dynamic Sulfur‐Mediated Interfaces for Selective Urea Electrolysis

open access: yesAdvanced Functional Materials, EarlyView.
Sulfur‐doped graphitized carbon nanofibers act as adaptive catalyst–support platforms, enabling dynamic sulfur‐mediated reconstruction and strong metal–support interactions. This unique behavior enhances catalyst stability and controls reaction pathways, achieving highly selective urea oxidation (∼92% N2) coupled with efficient hydrogen evolution ...
Melanie Guillén‐Soler   +4 more
wiley   +1 more source

Tracking Spatiotemporal Extracellular Matrix Evolution and Tissue Fusion in 3D Microtissues via Click Chemistry‐Based Metabolic Labelling

open access: yesAdvanced Healthcare Materials, EarlyView.
Metabolic labeling of nascent proteins in 3D microtissue spheroids provides a powerful analytical approach for large‐scale tissue engineering. Incorporation of non‐canonical amino acids with fluorescent tagging enables spatiotemporal investigation of extracellular matrix deposition and its evolution during multicellular tissue development and fusion ...
Theresa Koenig   +3 more
wiley   +1 more source

Correction: A Fast Incremental Gaussian Mixture Model. [PDF]

open access: yesPLoS ONE, 2015
Rafael Coimbra Pinto   +1 more
doaj   +1 more source

Gaussian Mixture Model with Rare Events

open access: yesJ. Mach. Learn. Res.
We study here a Gaussian Mixture Model (GMM) with rare events data. In this case, the commonly used Expectation-Maximization (EM) algorithm exhibits extremely slow numerical convergence rate. To theoretically understand this phenomenon, we formulate the numerical convergence problem of the EM algorithm with rare events data as a problem about a ...
Xuetong Li   +2 more
openaire   +3 more sources

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