Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Sergio Gerardo de los Cobos Silva"'
Autor:
Gilberto Sinuhe Torres-Cockrell, Roman Anselmo Mora-Gutiérrez, Eric Alfredo Rincón-García, Edwin Montes-Orozco, Sergio Gerardo de-los-Cobos-Silva, Pedro Lara-Velazquez, Miguel Ángel Gutiérrez-Andrade
Publikováno v:
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, Vol 11, Iss 4 (2024)
In this study, we introduce an innovative approach that utilizes complex networks and the k_core method to address community detection in weighted networks. Our proposed bi-objective model aims to simultaneously discover non-overlapping communities w
Externí odkaz:
https://doaj.org/article/fb0f22014bfd4a33b189cc4468d6c508
Autor:
Carlos Alberto Hernández-Nava, Eric Alfredo Rincón-García, Pedro Lara-Velázquez, Sergio Gerardo de-los-Cobos-Silva, Miguel Angel Gutiérrez-Andrade, Roman Anselmo Mora-Gutiérrez
Publikováno v:
PeerJ Computer Science, Vol 9, p e1740 (2023)
Nowadays, biometric authentication has gained relevance due to the technological advances that have allowed its inclusion in many daily-use devices. However, this same advantage has also brought dangers, as spoofing attacks are now more common. This
Externí odkaz:
https://doaj.org/article/a353e064dffc427099a6fd024c0cef92
Autor:
Edwin Montes-Orozco, Roman Anselmo Mora-Gutiérrez, Sergio Gerardo De-Los-Cobos-Silva, Roberto Bernal-Jaquez, Eric Alfredo Rincón-García, Miguel Angel Gutiérrez-Andrade, Pedro Lara-Velázquez
Publikováno v:
Complexity, Vol 2023 (2023)
The detection of communities in complex networks offers important information about the structure of the network as well as its dynamics. However, it is not an easy problem to solve. This work presents a methodology based of the robust coloring probl
Externí odkaz:
https://doaj.org/article/b461376c6c7c4921aa4e0354ff82d425
Autor:
Edwin Montes-Orozco, Roman-Anselmo Mora-Gutierrez, Sergio-Gerardo De-Los-Cobos-Silva, Eric-Alfredo Rincon-Garcia, Gilberto-Sinuhe Torres-Cockrell, Jorge Juarez-Gomez, Bibiana Obregon-Quintana, Pedro Lara-Velazquez, Miguel-Angel Gutierrez-Andrade
Publikováno v:
IEEE Access, Vol 8, Pp 122874-122883 (2020)
In this work, we present a methodology to identify COVID-19 spreaders using the analysis of the relationship between socio-cultural and economic characteristics with the number of infections and deaths caused by the COVID-19 virus in different countr
Externí odkaz:
https://doaj.org/article/2ecacbf9a64f4d48b898751d025c2cda
Autor:
Edwin Montes-Orozco, Roman-Anselmo Mora-Gutiérrez, Sergio-Gerardo de-los-Cobos-Silva, Eric A. Rincón-García, Miguel A. Gutiérrez-Andrade, Pedro Lara-Velázquez
Publikováno v:
Complexity, Vol 2022 (2022)
This work analyzes and characterizes the spread of the COVID-19 disease in Mexico, using complex networks and optimization approaches. Specifically, we present two methodologies based on the principle of the rupture for the GC and Newton's law of mot
Externí odkaz:
https://doaj.org/article/f46e827d51a045ada69d033441154429
Autor:
Edwin Montes-Orozco, Roman Anselmo Mora-Gutiérrez, Sergio Gerardo de-los-Cobos-Silva, Roberto Bernal-Jaquez, Eric Alfredo Rincón-García, Miguel Ángel Gutiérrez-Andrade, Pedro Lara-Velázquez
In this work we present a methodology based on the robust coloring problem (RCP) and the vertex cover problem (VCP) in order to find the communities in multiplex networks. For this, we consider that the RCP finds a partial detection based on the simi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f7b80035cff1e3c28c8a8dbc2365170
https://doi.org/10.21203/rs.3.rs-2288756/v1
https://doi.org/10.21203/rs.3.rs-2288756/v1
Autor:
Sergio Gerardo de los Cobos Silva, Miguel Ángel Gutiérrez Andrade, Eric Alfredo Rincón-García, Pedro Lara Velázquez, Manuel Aguilar-Cornejo
Publikováno v:
Revista de Matemática: Teoría y Aplicaciones, Vol 21, Iss 1, Pp 107-126 (2014)
Este trabajo presenta la comparación de los resultados de las técnicas heurísticas de ABC colonias de abejas artificiales (Artificial Bee Colony) y PSO enjambres de partículas (Particle Swarm Optimization) que son utilizadas para la estimación d
Externí odkaz:
https://doaj.org/article/03a1730c0d0841218ed91a8e400b1e59
Autor:
Miguel Ángel Gutiérrez-Andrade, Eric Alfredo Rincón-García, Pedro Lara-Velázquez, Roman Anselmo Mora-Gutiérrez, Bibiana Obregón-Quintana, Edwin Montes-Orozco, Sergio Gerardo de-los-Cobos-Silva
Publikováno v:
Computing. 103:869-893
In this work, we propose a methodology to quantify robustness in networks. Specifically, the methodology is based on the resolution of the Vertex Separator Problem in order to find the set of nodes that the elimination of their links causes the ruptu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2cc89042d814185dd00d05955f51f0d2
https://doi.org/10.1007/s00607-021-00909-x
https://doi.org/10.1007/s00607-021-00909-x
Publikováno v:
Revista de Matemática: Teoría y Aplicaciones, Vol 20, Iss 2, Pp 203-214 (2013)
This work introduce to the Possibilistic Programming and the Fuzzy Programming as paradigms that allow to resolve problems of linear programming when the coefficients of the model or the restrictions on the same are presented as fuzzy numbers, rather
Externí odkaz:
https://doaj.org/article/c923b879600649c4892585c14d5d4dbd
Autor:
Sergio Gerardo de los Cobos Silva, Miguel Ángel Gutiérrez Andrade, Eric Alfredo Rincón-García, Pedro Lara Velázquez, Manuel Aguilar-Cornejo
Publikováno v:
Revista de Matemática: Teoría y Aplicaciones, Vol 20, Iss 1, Pp 49-60 (2013)
Este trabajo presenta los resultados de la técnica heurística de ABC (Artificial Bee Colony) utilizada para estimar los parámetros de modelos de regresión no lineal. El algoritmo fue probado sobre 27 bases de datos de la colección NIST (2001), d
Externí odkaz:
https://doaj.org/article/4fe50fe1ccd041419b360cf9c51f2401