Results 61 to 70 of about 5,448,204 (257)
Optimal approximation model of autocorrelation function of digital image
Tongxin xuebao, 2011 Non-stationary stochastic signal was divided into piecewise stationary stochastic signal,and reflecting the sig-nal’s characteristics by autocorrelation function of the piecewise stationary stochastic signal.Generally,the autocorrela-tion function was ...
CHENG Xiao-gang1 +4 more
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Life‐Like Ferrous Oxide Microspheres from Kombucha
Advanced Materials Interfaces, EarlyView.Kombucha bacterial cellulose, sodium alginate, and ferrous nitrate self‐assemble into membrane‐enclosed iron oxide microspheres. These microspheres bud daughter vesicles, sustain 24‐h electrochemical oscillations, and filter theta‐band signals.
Panagiotis Mougkogiannis +2 more
wiley +1 more source
2-adic complexity of SLCE sequence
Tongxin xuebao, 2019 Aiming at the 2-adic complexity of Sidelnikov-Lempel-Cohn-Eastman sequences,autocorrelation function value of this kind of sequence was obtained by using the cyclotomic number.Based on the relationship between 2-adic complexity and autocorrelation ...
Yan WANG, Shunbo LI, Gaina XUE
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Time series analysis of friction force at self-affine mode of ice surface softening
Condensed Matter Physics, 2021 The self-affine mode of ice softening during friction is investigated within the rheological model for viscoelastic medium approximation. The different modes of ice rubbing, determined by formation of surface liquid-like layer, are studied.
A. V. Khomenko, D. T. Logvinenko
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Single‐Photon Emitters in Thickness‐Controlled hBN Directly Grown on Silicon Platform
Advanced Optical Materials, EarlyView.Direct, catalyst‐free CVD growth produces thickness‐controlled hBN films on SiO2/Si without transfer. Growth temperature, film thickness, and carbon incorporation tune the density and single‐photon fraction of defect emitters while preserving the hBN lattice structure.
Yeunjeong Lee +6 more
wiley +1 more source
Revista Colombiana de Estadística, 2008 The sample cross-correlation function (SCCF) has been used to study the strength and direction of the linear relation between two jointly stationary stochastic processes.
Castaño Elkin, Martínez Jorge
doaj
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
Advanced Science, EarlyView.The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Additive Autocorrelation of Resilient Boolean Functions [PDF]
, 2004 In this paper, we introduce a new notion called the dual function for studying Boolean functions. First, we discuss general properties of the dual function that are related to resiliency and additive autocorrelation. Second, we look at preferred functions which are Boolean functions with the lowest 3-valued spectrum.
Guang Gong, Khoongming Khoo
openaire +2 more sources
Advanced Science, EarlyView.A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou +3 more
wiley +1 more source
Integration of Reconfigurable p‐Bit and 1R Crossbar Array for Memristive Probabilistic Computing
Advanced Science, EarlyView.A memristive probabilistic computing system is demonstrated by integrating stochastic p‐bits based on volatile memristors with a 1R crossbar array encoding interaction weights. The system performs weighted‐sum operations across the array and updates p‐bits iteratively.
Keunho Soh +7 more
wiley +1 more source