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pro vyhledávání: '"Janaína Gomide"'
Autor:
Janaína Gomide, Raquel Melo-Minardi, Marcos Augusto dos Santos, Goran Neshich, Wagner Meira Jr., Júlio César Lopes, Marcelo Santoro
Publikováno v:
Genetics and Molecular Biology, Vol 32, Iss 3, Pp 645-651 (2009)
In this article, we describe a novel methodology to extract semantic characteristics from protein structures using linear algebra in order to compose structural signature vectors which may be used efficiently to compare and classify protein structure
Externí odkaz:
https://doaj.org/article/7114228706ab4a019285738395983e14
Autor:
André Branco, Janaína Gomide
Publikováno v:
Anais do Encontro Nacional de Inteligência Artificial e Computacional (ENIAC). :504-515
A taxa de perfuração (ROP) de um poço de petróleo é uma métrica muito importante de se controlar, por influenciar na produtividade do poço, no desgaste da broca e na segurança do poço e operação. Este trabalho avalia a utilização do alg
Autor:
Débora Zumpichiatti, Janaína Gomide
Publikováno v:
Anais do XIX Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2022).
O aumento da complexidade dos sistemas mecânicos muda drasticamente os métodos usados para monitorar e analisar como esses sistemas envelhecem. O objetivo desse trabalho é realizar a previsão do tempo de vida útil restante de equipamentos utiliz
Autor:
Marcelo M. Santoro, Wagner Meira, Janaína Gomide, Raquel C. de Melo-Minardi, Marcos Augusto dos Santos, Goran Neshich, Júlio César Dias Lopes
Publikováno v:
Genetics and Molecular Biology v.32 n.3 2009
Genetics and Molecular Biology
Sociedade Brasileira de Genética (SBG)
instacron:SBG
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
Genetics and Molecular Biology, Volume: 32, Issue: 3, Pages: 645-651, Published: 2009
Genetics and Molecular Biology, Vol 32, Iss 3, Pp 645-651 (2009)
Genetics and Molecular Biology
Sociedade Brasileira de Genética (SBG)
instacron:SBG
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
Genetics and Molecular Biology, Volume: 32, Issue: 3, Pages: 645-651, Published: 2009
Genetics and Molecular Biology, Vol 32, Iss 3, Pp 645-651 (2009)
In this article, we describe a novel methodology to extract semantic characteristics from protein structures using linear algebra in order to compose structural signature vectors which may be used efficiently to compare and classify protein structure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f98149a21ae7571b81d61706906b7799
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572009000300032
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572009000300032
Publikováno v:
SIGIR
How do we analyze sentiments over a set of opinionated Twitter messages? This issue has been widely studied in recent years, with a prominent approach being based on the application of classification techniques. Basically, messages are classified acc
Autor:
Adriano Veloso, Janaína Gomide, Mauro M. Teixeira, Fernanda Oliveira Ferraz, Virgilio Almeida, Fabrício Benevenuto, Wagner Meira
Publikováno v:
WebSci
Twitter is a unique social media channel, in the sense that users discuss and talk about the most diverse topics, including their health conditions. In this paper we analyze how Dengue epidemic is reflected on Twitter and to what extent that informat