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Estudo comparativo da programação paralela de algoritmos em CPU com Go e GPU com CUDA
(Universidade Tecnológica Federal do ParanáPonta GrossaBrasilDepartamento Acadêmico de InformáticaCiência da ComputaçãoUTFPR, 2014-06-11)
Multicore processors, in other words, with more than one core, have become common usage. However, the study of parallel programming is not much explored. There are many problems that can be solved more efficiently exploiting ...
TIP: Protein backtranslation aided by genetic algorithms
(2004)
Summary: Several applications require the backtranslation of a protein sequence into a nucleic acid sequence. The degeneracy of the genetic code makes this process ambiguous; moreover, not every translation is equally ...
Feature Selection Using Geometric Semantic Genetic Programming
(Assoc Computing Machinery, 2017-01-01)
Feature selection concerns the task of finding the subset of features that are most relevant to some specific problem in the context of machine learning. During the last years, the problem of feature selection has been ...
Heuristics Applied to Mutation Testing in an Impure Functional Programming Language
(Science and Information OrganizationUK, 2019)
The task of elaborating accurate test suites for program
testing can be an extensive computational work. Mutation
testing is not immune to the problem of being a computational and time-consuming task so that it has found ...
A Genetic Programming Model for Association Studies to Detect Epistasis in Low Heritability Data
(Instituto de Informática - Universidade Federal do Rio Grande do Sul, 2018)
Genomic-enabled prediction based on molecular markers and pedigree using the Bayesian linear regression package in R
(Crop Science Society of America, 2013)
Coefficient of parentage users manual
(CIMMYT, 2014)
Classificação de bovinos por meio da característica do focinho utilizando visão computacional
(Universidade Tecnológica Federal do ParanáPato BrancoBrasilDepartamento Acadêmico de InformáticaEngenharia de ComputaçãoUTFPR, 2018-12-06)
The control of the cattle herd is a fundamental factor to add value to the product, both for dairy production and for beef cattle. The one that makes the most use of this method is the beef cattle, due to the requirements ...
A Genetic Algorithm for Transmission Network Expansion Planning Considering Line Maintenance
(Ieee, 2020-01-01)
This paper proposes a decimal codification genetic algorithm to solve the transmission network expansion planning (TNEP) problem considering the economic impact of line maintenance. The goal is to extend the lifespan of ...