Results 31 to 40 of about 88,361 (282)

Sparse Grid Approximation in Weighted Wiener Spaces

open access: yesJournal of Fourier Analysis and Applications, 2023
AbstractWe study approximation properties of multivariate periodic functions from weighted Wiener spaces by sparse grid methods constructed with the help of quasi-interpolation operators. The class of such operators includes classical interpolation and sampling operators, Kantorovich-type operators, scaling expansions associated with wavelet ...
Kolomoitsev, Yurii   +2 more
openaire   +5 more sources

A Hierarchical Routing Scheme With Load Balancing in Software Defined Vehicular Ad Hoc Networks

open access: yesIEEE Access, 2018
The vast majority of routing approaches for vehicular ad hoc networks (VANETs) are distributed, which are ineffective to exploit the global networking information and easily lead to local optimum, appearing as sparse connectivity and network congestion ...
Yangshui Gao   +4 more
doaj   +1 more source

A Semi-Lagrangian Scheme with Radial Basis Approximation for Surface Reconstruction

open access: yes, 2016
We propose a Semi-Lagrangian scheme coupled with Radial Basis Function interpolation for approximating a curvature-related level set model, which has been proposed by Zhao et al.
Carlini, Elisabetta, Ferretti, Roberto
core   +1 more source

Finite Differences on Sparse Grids for Continuous-Time Heterogeneous Agent Models

open access: yesAlgorithms
We present a finite difference method working on sparse grids to solve higher dimensional heterogeneous agent models. If one wants to solve the arising Hamilton–Jacobi–Bellman equation on a standard full grid, one faces the problem that the number of ...
Jochen Garcke, Steffen Ruttscheidt
doaj   +1 more source

Sparse convolutional neural network for high-resolution skull shape completion and shape super-resolution

open access: yesScientific Reports, 2023
Traditional convolutional neural network (CNN) methods rely on dense tensors, which makes them suboptimal for spatially sparse data. In this paper, we propose a CNN model based on sparse tensors for efficient processing of high-resolution shapes ...
Jianning Li   +5 more
doaj   +1 more source

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

Shear turbulence on a sparse spectral grid [PDF]

open access: yesPhysical Review E, 2007
We simulate turbulence in a plane Couette geometry by a spectral method intermediate between full resolution and the complete elimination of small modes common in large eddy simulations. The wave number grid is sparse in spanwise and downstream direction, with a total number of modes proportional to Re(3/4) lnRe.
DE LILLO, Filippo, Eckhardt, Bruno
openaire   +3 more sources

Harnessing Fungal Biowelding for Constructing Mycelium‐Engineered Materials

open access: yesAdvanced Engineering Materials, EarlyView.
Mycelium‐bound composites (MBCs) offer low‐carbon alternatives for construction, yet interfacial bonding remains a critical challenge. This review examines fungal biowelding as a biocompatible adhesive, elucidating mycelium‐mediated interfacial mechanisms and their role in material assembly. Strategies to optimize biowelding are discussed, highlighting
Xue Brenda Bai   +2 more
wiley   +1 more source

Robust Approach for Rotor Mapping in Cardiac Tissue

open access: yes, 2019
The motion of and interaction between phase singularities that anchor spiral waves captures many qualitative and, in some cases, quantitative features of complex dynamics in excitable systems.
Grigoriev, Roman O., Gurevich, Daniel R.
core   +1 more source

Efficient Compressed Sensing Based Non-Sample Spaced Sparse Channel Estimation in OFDM System

open access: yesIEEE Access, 2019
This paper aims to develop an efficient compressed sensing (CS) based channel estimation method for non-sample spaced sparse channels in orthogonal frequency division multiplexing (OFDM) systems, which can effectively balance the channel estimation ...
Hui Xie   +3 more
doaj   +1 more source

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