Zobrazeno 1 - 10
of 12
pro vyhledávání: '"José Eduardo Henriques da Silva"'
Autor:
José Eduardo Henriques da Silva, Carlos Jesivan Marques Albuquerque, Rodrigo de Souza Campista Ferraz, José Antônio Bento de Andrade
Publikováno v:
Revista Eletrônica Teccen, Vol 9, Iss 1, Pp 57-65 (2016)
A crescente demanda de energia elétrica em tempos modernos exige sistemas de potência crescentemente confiáveis, em todos os segmentos envolvidos na geração, transmissão e distribuição. Neste sentido, perturbações eletromagnéticas, de orig
Externí odkaz:
https://doaj.org/article/2829c84505c54612954597ccf3144f10
Autor:
Luciana Nascimento Santana Prachedes, José Eduardo Henriques da Silva, Heder Soares Bernardino, Itamar Leite de Oliveira
Publikováno v:
Proceedings of the Genetic and Evolutionary Computation Conference Companion.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::725ce8a2089846f06f670833cbaa05db
https://doi.org/10.1145/3520304.3534032
https://doi.org/10.1145/3520304.3534032
Autor:
Luciana N. S. Prachedes, José Eduardo Henriques da Silva, Heder Soares Bernardino, Itamar Leite de Oliveira
Publikováno v:
Anais Estendidos do XXII Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2022).
A inferência de Redes de Regulação Gênica (GRNs) é importante em Biologia Sistêmica, pois permite o entendimento de padrões de interações entre genes. Essas descobertas sãoúteis para fornecer compreensão sobre doenças e ajudar no desenvo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::419a8f90de4ead042f5d0fedc728ac20
https://doi.org/10.5753/sbcas_estendido.2022.222566
https://doi.org/10.5753/sbcas_estendido.2022.222566
Autor:
Alex Borges Vieira, Helio J. C. Barbosa, Heder S. Bernardino, José Eduardo Henriques da Silva, Itamar L. de Oliveira
Publikováno v:
Intelligent Systems ISBN: 9783030917012
Gene Regulatory Networks (GRNs) inference from gene expression data is a hard task and a widely addressed challenge. GRNs can be represented as Boolean models similarly to digital circuits. Cartesian Genetic Programming (CGP), often used for designin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4347f25d3f8a599cb4e4c89f9ad370b3
https://doi.org/10.1007/978-3-030-91702-9_18
https://doi.org/10.1007/978-3-030-91702-9_18
Autor:
Heder S. Betnardino, Alex Borges Vieira, C D Campos Luciana, J C Barbosa Helio, José Eduardo Henriques da Silva, Itamar L. de Oliveira
Publikováno v:
CEC
The inference of Gene Regulatory Networks (GRNs) from gene expression data is a hard and widely addressed scientific challenge with potential industrial and health-care use. Discrete and continuous models of GRNs are often used (i) to understand the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f93b6c2f94a51b05cf0e97a2840fbd0
https://doi.org/10.1109/cec48606.2020.9185572
https://doi.org/10.1109/cec48606.2020.9185572
Publikováno v:
Machine Learning, Optimization, and Data Science ISBN: 9783030375980
LOD
LOD
The design of digital circuits using Cartesian Genetic Programming (CGP) has been widely investigated but the evolution of complex combinational logic circuits is a hard task for CGP. We introduce here a new mutation operator for CGP that aims to red
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f422d8e4ec56afa9d15884e65c540023
https://doi.org/10.1007/978-3-030-37599-7_33
https://doi.org/10.1007/978-3-030-37599-7_33
Publikováno v:
Progress in Artificial Intelligence ISBN: 9783030302405
EPIA (1)
EPIA (1)
The design of digital circuits has been widely investigated in the literature but the evolution of complex combinational logic circuits is not an easy task for Cartesian Genetic Programming (CGP). We propose here a new approach in order to increase t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::048d588b4911035d5d2d02cf4f6e1f8f
https://doi.org/10.1007/978-3-030-30241-2_63
https://doi.org/10.1007/978-3-030-30241-2_63
Autor:
Rodrigo de Souza Campista Ferraz, José Antônio Bento de Andrade, Carlos Jesivan Marques Albuquerque, José Eduardo Henriques da Silva
Publikováno v:
Revista Eletrônica Teccen, Vol 9, Iss 1, Pp 57-65 (2016)
A crescente demanda de energia elétrica em tempos modernos exige sistemas de potência crescentemente confiáveis, em todos os segmentos envolvidos na geração, transmissão e distribuição. Neste sentido, perturbações eletromagnéticas, de orig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4adb060529566c77c275235132adc91f
http://editorauss.uss.br/index.php/TECCEN/article/view/214
http://editorauss.uss.br/index.php/TECCEN/article/view/214
Autor:
José Eduardo Henriques da Silva, Francisco A. L. Manfrini, Helio J. C. Barbosa, Heder S. Bernardino
Publikováno v:
Anais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2018).
Cartesian Genetic Programming (CGP) is often applied to design combinational logic circuits. However, there is no consensus in the literature regarding the more appropriate objective function when it is desired to minimize the number of logic gates o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04f88fabeeca9b1b4e6379d7e9be2e7f
https://doi.org/10.5753/eniac.2018.4471
https://doi.org/10.5753/eniac.2018.4471
Publikováno v:
BRACIS
The development of an efficient crossover for Cartesian Genetic Programming (CGP) has been widely investigated, but there is not a large number of approaches using this type of operator when designing combinational logic circuits. In this paper, we i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ba181a816c60179b2f4a9e03f7def39
https://doi.org/10.1109/bracis.2018.00033
https://doi.org/10.1109/bracis.2018.00033