Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Eduardo R Concepción-Morales"'
Autor:
Rewer M Canosa-Reyes, Andrei Tchernykh, Jorge M Cortés-Mendoza, Bernardo Pulido-Gaytan, Raúl Rivera-Rodriguez, Jose E Lozano-Rizk, Eduardo R Concepción-Morales, Harold Enrique Castro Barrera, Carlos J Barrios-Hernandez, Favio Medrano-Jaimes, Arutyun Avetisyan, Mikhail Babenko, Alexander Yu Drozdov
Publikováno v:
PLoS ONE, Vol 17, Iss 1, p e0261856 (2022)
Containers have emerged as a more portable and efficient solution than virtual machines for cloud infrastructure providing both a flexible way to build and deploy applications. The quality of service, security, performance, energy consumption, among
Externí odkaz:
https://doaj.org/article/4a5afbd2e1d84bf0b829d4a3889af07c
Autor:
Eduardo R. Concepción Morales, Arutyun Avetisyan, Andrei Tchernykh, Raul Rivera-Rodriguez, Jorge M. Cortés-Mendoza, Jose E Lozano Rizk, Rewer Canosa, Gleb Radchenko, Zhihui Du
Publikováno v:
2018 Ivannikov Ispras Open Conference (ISPRAS).
Publikováno v:
Progress in Artificial Intelligence. 2:193-203
Optimization is used in diverse areas of science, technology, and business. Metaheuristics are one of the common approaches for solving optimization problems. In this paper, we propose a novel and functional metaheuristic Fisherman Search Procedure (
Autor:
Oscar José Alejo Machado, Eduardo R. Concepción Morales, Juan Francisco Huete Guadix, Juan Manuel Fernandez Luna
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642346538
IBERAMIA
IBERAMIA
Optimization is used in diverse areas of science, technology and business. Metaheuristics are one of the common approaches for solving optimization problems. In this paper we propose a novel and functional metaheuristic, Fisherman Search Procedure (F
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f93165ba37a56aecd43b3ed04061f1f1
https://doi.org/10.1007/978-3-642-34654-5_30
https://doi.org/10.1007/978-3-642-34654-5_30
Publikováno v:
IPTA
Traditional clustering methods do not take into account any relations possibly present in data. This paper introduces a contiguity-constrained algorithm with an aggregation index which uses neighbouring relations present in the data. Experiments show
Publikováno v:
Current Topics in Artificial Intelligence ISBN: 9783642142635
CAEPIA
CAEPIA
This paper introduces a new constrained hierarchical agglomerative algorithm with an aggregation index which uses neighbouring relations present in the data. Experiments show the behaviour of the proposed contiguity-constrained agglomerative hierarch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::079acbc7667e2965d3a916f7f810be9e
https://doi.org/10.1007/978-3-642-14264-2_27
https://doi.org/10.1007/978-3-642-14264-2_27
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540859192
CIARP
CIARP
Unsupervised classification or clustering has been used in many disciplines and contexts. Traditional methodologies are mostly based on the minimization of the distance between data and the cluster means without considering any other possible relatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc1a1b3f511506fde4758db142600b62
https://doi.org/10.1007/978-3-540-85920-8_26
https://doi.org/10.1007/978-3-540-85920-8_26