Results 11 to 20 of about 1,421,451 (285)

An Efficient Technique for Information Recovery of Erroneous Medical Image Blocks Transmitting Over Error Prone Networks [PDF]

open access: yesEngineering and Technology Journal, 2010
Imperfect transmission of block-coded images often causes lost blocks.These blocks may contain very important information of image. In thispaper, an efficient method of error concealment scheme is proposed forrestoring lost blocks and lines in medical ...
Ekhlas H. Karam   +3 more
doaj   +1 more source

Radial Point Interpolation-Based Error Recovery Estimates for Finite Element Solutions of Incompressible Elastic Problems

open access: yesApplied Sciences, 2023
Error estimation and adaptive applications help to control the discretization errors in finite element analysis. The study implements the radial point interpolation (RPI)-based error-recovery approaches in finite element analysis.
Nabil Ben Kahla   +2 more
doaj   +1 more source

Mesh Free Radial Point Interpolation Based Displacement Recovery Techniques for Elastic Finite Element Analysis

open access: yesMathematics, 2021
The study develops the displacement error recovery method in a mesh free environment for the finite element solution employing the radial point interpolation (RPI) technique. The RPI technique uses the radial basis functions (RBF), along with polynomials
Mohd. Ahmed   +3 more
doaj   +1 more source

Error Recovery with Attribute Grammars [PDF]

open access: yesThe Computer Journal, 1982
The problem of the semantic definition of a programming language has been approached by Knuth by means of 'attribute grammar'.' They consist of a syntactic part, which is typically a context-free grammar, and of a semantic part, made up of a set of attributes associated to each symbol and of a set of semantic functions used to evaluate the attributes ...
Boccalatte, A.   +2 more
openaire   +1 more source

A Survey on Multimedia-Based Cross-Layer Optimization in Visual Sensor Networks

open access: yesSensors, 2011
Visual sensor networks (VSNs) comprised of battery-operated electronic devices endowed with low-resolution cameras have expanded the applicability of a series of monitoring applications.
Daniel G. Costa, Luiz Affonso Guedes
doaj   +1 more source

Subset based error recovery

open access: yesSignal Processing, 2022
Abstract We propose a data denoising method using Extreme Learning Machine (ELM) structure which allows us to use Johnson-Lindenstraus Lemma (JL) for preserving Restricted Isometry Property (RIP) in order to give theoretical guarantees for recovery. Furthermore, we show that the method is equivalent to a robust two-layer ELM that implicitly benefits ...
Ekmekcioğlu, Ömer   +2 more
openaire   +3 more sources

Mesh-Free MLS-Based Error-Recovery Technique for Finite Element Incompressible Elastic Computations

open access: yesApplied Sciences, 2023
The finite element error and adaptive analysis are implemented in finite element procedures to increase the reliability of numerical analyses. In this paper, the mesh-free error-recovery technique based on moving least squares (MLS) interpolation is ...
Nabil Ben Kahla   +2 more
doaj   +1 more source

L2-Norm Based a Posteriori Error Estimates of Compressible and Nearly-Incompressible Elastic Finite Element Solutions

open access: yesApplied Sciences, 2022
The displacement and stress-based error estimates in a posteriori error recovery of compressible and nearly-incompressible elastic finite element solutions is investigated in the present study.
Mohd. Ahmed   +3 more
doaj   +1 more source

Comparison of meshfree displacement and stress error recovery of finite element solutions using moving least squares interpolation

open access: yesAdvances in Mechanical Engineering, 2022
The moving least square (MLS) interpolation based the recovery procedures have been successfully applied to recover the finite element solution errors in the analysis of elastic plates and pipes problems and can be advantageously applied for large ...
Mohd. Ahmed   +3 more
doaj   +1 more source

A Sharp Sufficient Condition for Sparsity Pattern Recovery [PDF]

open access: yesJournal of Artificial Intelligence and Data Mining, 2020
Sufficient number of linear and noisy measurements for exact and approximate sparsity pattern/support set recovery in the high dimensional setting is derived.
Z. Shaeiri   +2 more
doaj   +1 more source

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