Results 81 to 90 of about 4,390,707 (282)
The Convolution on Time Scales
Abstract 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
Advanced Functional Materials, EarlyView.ABSTRACT Chitosan, a polysaccharide upcycled from biowaste, has long promised sustainable, biocompatible, and antimicrobial films and devices, an appeal reinforced by its recent regulatory recognition, with several chitosan‐based antibacterial dressings gaining clearance through the Food and Drug Administration's 510(k) pathway.
Jacopo Nicoletti +16 more
wiley +1 more source
LINEAR DISCRETE CONVOLUTION AND ITS INVERSE. PART 1. CONVOLUTION [PDF]
We present here several ways of calculating the linear discrete convolution, its inverse - the deconvolution, by direct methods, generator functions, Z-transform, using matrices and MATLAB.
Mircea Cirnu
core
Correlating Time Series With Interpretable Convolutional Kernels
IEEE Transactions on Knowledge and Data EngineeringThis 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
Advanced Functional Materials, EarlyView.ABSTRACT Electronic waste has emerged as a major environmental challenge, driven by the massive consumption and a limited lifetime of modern electronic devices, stimulating the development of sustainable electronics. Here, an all‐biomaterial gelatin‐choline‐citric acid ([Ch][CA]) ionogel is developed as an active binder to realize self‐sintered ...
Lin Guo +10 more
wiley +1 more source
Application of multisection recursive convolution in 3D FETD-FABC simulations [PDF]
, 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
Identifying high-impact sub-structures for convolution kernels in document-level sentiment classification [PDF]
, 2012 Convolution kernels support the modeling of complex syntactic information in machine-learning tasks. However, such models are highly sensitive to the type and size of syntactic structure used.
Shouxun, Lin +5 more
core +2 more sources
Journal of Measurement Science and Instrumentation, 2022 In view of the problems of multi-scale changes of segmentation targets, noise interference, rough segmentation results and slow training process faced by medical image semantic segmentation, a multi-scale residual aggregation U-shaped attention network ...
SHAO Shuo, GE Hongwei
doaj
Time series clustering with random convolutional kernels
Data Mining and Knowledge DiscoveryAbstractTime 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
Advanced Functional Materials, EarlyView.A dynamically actuated reconfigurable topographical surface (DARTS) integrates contact‐mediated bactericidal nanotopography with programmable mechanical actuation to actively disrupt bacterial biofilms. Dynamic surface reconfiguration enhances bacterial killing and suppresses implant‐associated infections in vivo, providing a new strategy for active ...
Mohammad Asadi Tokmedash +4 more
wiley +1 more source