Search Results - "Fazenda, Álvaro Luiz"

Rtabnetsp: pacote R para extração de indicadores de saúde do estado de São Paulo by Morais, João Henrique de Araújo, Konstantyner, Thais Cláudia Roma de Oliveira, Fazenda, Álvaro Luiz, Sala, Arnaldo, Martins, Camila Bertini

“…Resumo Indicadores de saúde representam uma importante ferramenta de acompanhamento de desempenho de ações em Saúde Pública, permitindo a avaliação de…”
Get full text

Rtabnetsp: an R package for retrieving São Paulo State health status indicators, Brazil by Morais, João Henrique de Araújo, Konstantyner, Thais Cláudia Roma de Oliveira, Fazenda, Álvaro Luiz, Sala, Arnaldo, Martins, Camila Bertini

“…Health status indicators are an important tool for monitoring the performance of public health actions, identifying trends and priority regions for resource…”
Get full text

How to Identify Good Superpixels for Deforestation Detection on Tropical Rainforests by Borlido, Isabela, Bouhid, Eduardo, Sundermann, Victor, Resende, Hugo, Fazenda, Alvaro Luiz, Faria, Fabio, Guimar, Silvio Jamil F.

“…The conservation of tropical forests is a topic of significant social and ecological relevance due to their crucial role in the global ecosystem…”
Get full text

ForestEyes Project: Conception, Enhancements, and Challenges by Dallaqua, Fernanda B. J. R, Fazenda, Álvaro Luiz, Faria, Fabio A

“…Rainforests play an important role in the global ecosystem. However, significant regions of them are facing deforestation and degradation due to several…”
Get full text

Building Data Sets for Rainforest Deforestation Detection Through a Citizen Science Project by Dallaqua, Fernanda Beatriz Jordan Rojas, Faria, Fabio Augusto, Fazenda, Alvaro Luiz

“…Originally, the ForestEyes project aims to detect deforestation in tropical forests based on citizen science (CS) and machine learning (ML) approaches, in…”
Get full text

How to Identify Good Superpixels for Deforestation Detection on Tropical Rainforests by Borlido, Isabela, Bouhid, Eduardo, Sundermann, Victor, Resende, Hugo, Fazenda, Alvaro Luiz, Faria, Fabio, Guimarães, Silvio Jamil F

“…The conservation of tropical forests is a topic of significant social and ecological relevance due to their crucial role in the global ecosystem…”
Get full text

Parallel Clustering Search Applied to Capacitated Centered Clustering Problem by Melo Morales, Davi, Chaves, Antonio Augusto, Fazenda, Alvaro Luiz

“…The Clustering Search (CS) is a hybrid method that tries to combine metaheuristics and local search heuristics so that the search is intensified only in…”
Get full text

ForestEyes Project: Can Citizen Scientists Help Rainforests? by Jordan Rojas Dallaqua, Fernanda Beatriz, Fazenda, Alvaro Luiz, Faria, Fabio Augusto

“…Scientific projects involving volunteers for analyzing, collecting data, and using their computational resources, known as Citizen Science (CS), have become…”
Get full text

Parallel Algorithm for Dynamic Community Detection by Resende, Hugo, Fazenda, Alvaro Luiz, Goncalves Quiles, Marcos

“…Many real systems can be naturally modeled by complex networks. A complex network represents an abstraction of the system regarding its components and their…”
Get full text

Towards Production Code Effective Portability among Vector Machines and Microprocessor-Based Architectures by Fazenda, A.L., Enari, E.H., Rodrigues, L.F., Panetta, J.

“…Effective portability of production codes is a goal that has been pursued over decades with modest success. This paper presents a technique that enhances…”
Get full text

Dynamic Load Balancing in GPU-Based Systems - Early Experiments by Fazenda, Alvaro Luiz, Mendes, Celso L, Kale, Laxmikant V, Panetta, Jairo, Rodrigues, Eduardo Rocha

“…The dynamic load-balancing framework in Charm++/AMPI, developed at the University of Illinois, is based on using processor virtualization to allow thread…”
Get full text

Dynamic load balancing in GPU-based systems for a MPI program by Fazenda, Alvaro Luiz, Mendes, Celso L., Kale, Laxmikant V., Panetta, Jairo, Rocha Rodrigues, Eduardo

“…The dynamic load-balancing framework Charm++/AMPI, developed at the University of Illinois, is based on processor virtualization to allow thread migration…”
Get full text