Buscar
Mostrando ítems 21-30 de 1857
Topic Models and Fusion Methods: a Union to Improve Text Clustering and Cluster Labeling
Topic modeling algorithms are statistical methods that aim to discover the topics running through the text documents. Using topic models in machine learning and text mining is popular due to its applicability in inferring ...
Rotulagem geral e nutricional de alimentos embalados no Brasil: uma revisão bibliográfica
(Florianópolis, SC, 2022-03-08)
Neste trabalho de conclusão do curso de Graduação em Ciência e Tecnologia de Alimentos
foi realizada a revisão bibliográfica sobre a legislação de rotulagem geral e nutricional de
alimentos embalados no Brasil. Para a ...
Comparison of free range broiler chicken strains raised in confined or semi-confined systems
(Fundação APINCO de Ciência e Tecnologia Avícolas, 2005-06)
The present study was carried out to compare the growth curve, performance and carcass yield of two broiler strains, Paraíso Pedrês (PP) and ISA Label (ISA), raised in confined or semi-confined systems. It was used a ...
Rotulagem de alimentos funcionais: análise de informações
(DNUTL - Departamento de Nutrição – Lagarto - PresencialUFS, 2018)
Immunogold labeling and cerium cytochemistry of the enzyme ecto-5'-nucleotidase in promastigote forms of Leishmania species
(Fundação Oswaldo Cruz. Instituto Oswaldo Cruz, 2019)
Faster α-expansion via dynamic programming and image partitioning
(2020-07-01)
Image segmentation is the task of assigning a label to each image pixel. When the number of labels is greater than two (multi-label) the segmentation can be modelled as a multi-cut problem in graphs. In the general case, ...