The objective of this study was to systematically study and interpret the number of species groups through the adjusted Rand index (ARI), from the combination of the hierarchical technique and connection method characteristics. We... more
Todo o conteúdo deste livro está licenciado sob uma Licença de Atribuição Creative Commons. Atribuição 4.0 Internacional (CC BY 4.0). O conteúdo dos artigos e seus dados em sua forma, correção e confiabilidade são de responsabilidade... more
A gradual increase in diagnosed cases of lymphoma has led to greater dissemination of relevant information and has simultaneously revealed a need to improve understanding of the pathology. The prevalence of lymphomas involves many factors... more
Todo o conteúdo deste livro está licenciado sob uma Licença de Atribuição Creative Commons. Atribuição 4.0 Internacional (CC BY 4.0). O conteúdo dos artigos e seus dados em sua forma, correção e confiabilidade são de responsabilidade... more
LUCENA, S. L. L. de. Comparacao de modelo classico e bayesiano para dados de obitos perinatais no ISEA, Campina Grande – PB. 2018. 45f. Trabalho de Conclusao de Curso (Graduacao em Estatistica)- Universidade Estadual da Paraiba, Campina... more
Considering the relationship between data on smoking consumption and people's perceptions of the effects of smoking, the objective was to provide a more complete exploratory analysis of the data, using grouping techniques, drawing... more
Este estudo teve como objetivo geral verificar o processo de institucionalizacao da nova contabilidade publicanos Conselhos Regionais de Contabilidade (CRCs) do Brasil. Para tanto, foi realizada uma pesquisa exploratoria,bibliografica,... more
For a long period of time in our country, it has been questioned the high value charged in taxes. This questioning brings to light the real efficiency of these mandatory government policies offered to the community and funded out of... more
É abordado neste trabalho o modelo de crescimento em altura não linear de Chapman-Richards com distribuição dos erros seguindo a nova classe de modelos simétricos transformados e inferência Bayesiana para os parâmetros. O objetivo foi... more
Nos modelos não lineares os dados são ajustados através de uma combinação não linear dos parâmetros. A inferência bayesiana é uma importante ferramenta que pode ser aplicada a este tipo de modelo. Dados de crescimento são essencialmente... more
This study aims to compare the performance of each method (hierarchical and non-hierarchical) of the grouping formed by several HDI from the 27 brazilian states, through the cluster analysis technique. As well as determining how many... more
The multivariate statistic has been used in divergence studies concerning plants species. Analysis of the similarity or distance among individuals is an important tool for population. This among aims to present the main show the main... more
Wireless sensor networks (WSNs) have recently received growing attention as they have great potential for many distributed applications in different scenarios. Whatever the scenario, most WSNs are actually connected to an external... more
Wireless sensor networks (WSNs) have great potential for many distributed applications in different scenarios. As they grow in popularity and importance, it becomes increasingly desirable and necessary to share their data over the... more
It is expected that future wireless systems will consist of several distinct radio access technologies, forming a multiaccess system offering voice and multimedia services. Previous works have shown that the combined capacity region of... more
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Quantum analogues of the (classical) Logical Neural Networks (LNN) models are proposed in [6] (q-LNN for short). We shall here further develop and investigate the q- LNN composed of the quantum analogue of the Probabilis- tic Logic Node... more
In this letter, the computational power of a class of RAM-based neural networks, called General Single-layer Sequential Weightless Neural Networks (GSSWNNs), is analyzed. The theoretical results presented, besides helping the... more
A novel way to simulate Turing Machines (TMs) by Artificial Neural Networks (ANNs) is proposed. We claim that the proposed simulation is in agreement with the correct interpretation of Turing's analysis of computation; compatible with the... more