Results 41 to 50 of about 3,910,298 (308)

Rule Discovery with a Parallel Genetic Algorithm [PDF]

open access: yes, 2000
An important issue in data mining is scalability with respect to the size of the dataset being mined. In the paper we address this issue by presenting a parallel GA for rule discovery.
Araujo, Dieferson L.A.   +2 more
core  

Parallel linear hashtable motion estimation algorithm

open access: yes, 2006
This paper presents a parallel linear hashtable motion estimation algorithm (LHMEA). Most parallel video compression algorithms focus on group of picture (GOP).
Megson, G.M., Wu, Y.
core   +1 more source

On the Optimization and Parallelizing Little Algorithm for Solving the Traveling Salesman Problem

open access: yesМоделирование и анализ информационных систем, 2016
The paper describes some ways to accelerate solving the NP-complete Traveling Salesman Problem. The classic Little algorithm belonging to the category of ”branch and bound methods” can solve it both for directed and undirected graphs.
V. V. Vasilchikov
doaj   +1 more source

The Shewanella oneidensis Fic enzyme SoFic targets the switch‐I region of EF‐Tu for AMPylation

open access: yesFEBS Letters, EarlyView.
Fic enzymes mediate diverse post‐translational modifications across all domains of life, including AMPylation. Prokaryotic EF‐Tu can be AMPylated and deAMPylated by the conserved Fic enzyme SoFic. Structural and biochemical approaches were used to characterize the effect of AMPylation on EF‐Tu, SoFic's enzymatic activities, and the enzyme‐target ...
Svenja Runge   +6 more
wiley   +1 more source

Evaluation of sequential, multi-objective, and parallel interactive genetic algorithms for multi-objective optimization problems. [PDF]

open access: yes, 2006
We propose a sequential interactive genetic algorithm (IGA), multi-objective IGA and parallel IGA, and evaluate them with both simulated and real users.
Tiwari, Ashutosh   +3 more
core   +4 more sources

Numerical study of electromagnetic wave scattering from a non-homogeneous solid and curvilinear perfectly conducting screen

open access: yesИзвестия высших учебных заведений. Поволжский регион: Физико-математические науки, 2023
Background. The purpose of the work is development, software implementation and testing of a projection method and a parallel algorithm for solving the problem of electromagnetic wave diffraction on a system of solids and screens.
Oleg S. Skvortsov, Aleksey A. Tsupak
doaj   +1 more source

Spatial and single‐nuclei transcriptomics reveals idiosyncratic and generic patterns in papillary and anaplastic thyroid cancers

open access: yesMolecular Oncology, EarlyView.
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur   +11 more
wiley   +1 more source

A Parallel Algorithm Based on Regularized Lattice Boltzmann Method for Multi-Layer Grids

open access: yesApplied Sciences
The regularized lattice Boltzmann method (RLBM) is an improvement of the lattice Boltzmann method (LBM). The advantage of RLBM is improved accuracy without increasing computational overheads.
Zhixiang Liu   +3 more
doaj   +1 more source

Efficient and Portable Distribution Modeling for Large-Scale Scientific Data Processing with Data-Parallel Primitives

open access: yesAlgorithms, 2021
The use of distribution-based data representation to handle large-scale scientific datasets is a promising approach. Distribution-based approaches often transform a scientific dataset into many distributions, each of which is calculated from a small ...
Hao-Yi Yang, Zhi-Rong Lin, Ko-Chih Wang
doaj   +1 more source

Parallelism and evolutionary algorithms [PDF]

open access: yesIEEE Transactions on Evolutionary Computation, 2002
This paper contains a modern vision of the parallelization techniques used for evolutionary algorithms (EAs). The work is motivated by two fundamental facts: 1) the different families of EAs have naturally converged in the last decade while parallel EAs (PEAs) are still lack of unified studies; and 2) there is a large number of improvements in these ...
Enrique Alba 0001, Marco Tomassini
openaire   +2 more sources

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