Results 71 to 80 of about 4,252,298 (276)

The Convolution on Time Scales

open access: yesAbstract and Applied Analysis, 2007
The main theme in this paper is an initial value problem containing a dynamic version of the transport equation. Via this problem, the delay (or shift) of a function defined on a time scale is introduced, and the delay in turn is used to introduce the ...
Martin Bohner, Gusein Sh. Guseinov
doaj   +1 more source

Optimization Method for Convolutional Computing Based on Vector Transformation [PDF]

open access: yesJisuanji gongcheng
To solve efficiency problems in convolution calculations, this paper proposes a convolution calculation optimization method OAC. The objective is to improve the efficiency of convolution calculations to address the increasing demand for high convolution ...
WANG Peiji, ZOU Chengming
doaj   +1 more source

CONVOLUTION SUMS AND THEIR RELATIONS TO EISENSTEIN SERIES [PDF]

open access: yesBulletin of the Korean Mathematical Society, 2013
In this paper, we consider several convolution sums, namely, Ai(m;n; N) (i = 1; 2; 3; 4), Bj(m;n;N) (j = 1; 2; 3), and Ck(m;n;N) (k = 1; 2; 3;:::, 12), and establish certain identities involving their nite products. Then we extend these types of product convolution identities to products involving Faulhaber sums.
Daeyeoul Kim   +2 more
openaire   +1 more source

An area-efficient 2-D convolution implementation on FPGA for space applications [PDF]

open access: yes, 2011
The 2-D Convolution is an algorithm widely used in image and video processing. Although its computation is simple, its implementation requires a high computational power and an intensive use of memory.
Stefano Di Carlo   +11 more
core   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

open access: yesAdvanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova   +9 more
wiley   +1 more source

Control of Polarization and Polar Helicity in BiFeO3 by Epitaxial Strain and Interfacial Chemistry

open access: yesAdvanced Functional Materials, EarlyView.
In BiFeO3 thin films, the interplay of interfacial chemistry, electrostatics, and epitaxial strain is engineered to stabilize homohelicity in polarization textures at the domain scale. The synergistic use of a Bi2O2‐terminated Aurivillius buffer layer and a highly anisotropic compressive epitaxial strain offers new routes to control the polar‐texture ...
Elzbieta Gradauskaite   +5 more
wiley   +1 more source

Correlating Time Series With Interpretable Convolutional Kernels

open access: yesIEEE Transactions on Knowledge and Data Engineering
This study addresses the problem of convolutional kernel learning in univariate, multivariate, and multidimensional time series data, which is crucial for interpreting temporal patterns in time series and supporting downstream machine learning tasks.
Xinyu Chen 0002   +3 more
openaire   +2 more sources

Application of multisection recursive convolution in 3D FETD-FABC simulations [PDF]

open access: yes, 2008
The multisection recursive convolution (MS-RC) methodology is successfully applied to the finite element time domain floquet absorbing boundary condition modeling of doubly periodic structures.
Cai, Yong   +3 more
core   +1 more source

Strain‐Programmable Luminescent Adhesive Patch With Tartrazine‐Mediated Optical Skin Clearing for Photochemical Tissue Bonding

open access: yesAdvanced Functional Materials, EarlyView.
We propose a suture‐complementary approach that integrates optical skin clearing with a strain‐programmable luminescent adhesive patch. Hyaluronic acid promotes transdermal delivery of tartrazine to improve optical clearing and stabilizes its interaction with a photosensitizer. Optical clearing increases the penetration depth of visible light into skin,
Seong‐Jong Kim   +6 more
wiley   +1 more source

Time series clustering with random convolutional kernels

open access: yesData Mining and Knowledge Discovery
AbstractTime series data, spanning applications ranging from climatology to finance to healthcare, presents significant challenges in data mining due to its size and complexity. One open issue lies in time series clustering, which is crucial for processing large volumes of unlabeled time series data and unlocking valuable insights.
Jorge Marco-Blanco, Rubén Cuevas
openaire   +5 more sources

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