Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Ana Carolina Olivera"'
Publikováno v:
Journal of Information and Telecommunication, Pp 1-17 (2024)
Due to the Internet of Things (IoT) widespread adoption, data traffic to cloud servers for analysis has surged, impacting IoT system latency. Fog Computing emerged as a solution, bringing processing capabilities closer to data generation points, redu
Externí odkaz:
https://doaj.org/article/7a66d6c2732b422fbf779c86dd8c492c
Publikováno v:
Intelligent Systems with Applications, Vol 17, Iss , Pp 200173- (2023)
Fast and precise medical diagnosis of human cancer is crucial for treatment decisions. Gene selection consists of identifying a set of informative genes from microarray data to allow high predictive accuracy in human cancer classification. This task
Externí odkaz:
https://doaj.org/article/ef879670aef145f9bfe41057ab28d59a
Publikováno v:
Array, Vol 14, Iss , Pp 100173- (2022)
In recent years, technology in medicine has shown a significant advance due to artificial intelligence becoming a framework to make accurate medical diagnoses. Models like Multilayer Perceptrons (MLPs) can detect implicit patterns in data, allowing i
Externí odkaz:
https://doaj.org/article/31b57f4d0e6e47babe74f71746983ca9
Publikováno v:
Informes Científicos y Técnicos (Universidad Nacional de la Patagonia Austral), Vol 11, Iss 3, Pp 236-248 (2019)
n este trabajo, presentamos un análisis del comportamiento de un Algoritmo Genético Celular (cGA) aplicado al Problema de Ensamblado de cadenas de Ácido Desoxirribonucleico (ADN- FAP). Se construyeron 12 configuraciones para algoritmo basadas en d
Externí odkaz:
https://doaj.org/article/b547927237354437b21c3fd53360dac2
Autor:
Sergio Nesmachnow, Renzo Massobrio, Efraín Arreche, Christine Mumford, Ana Carolina Olivera, Pablo Javier Vidal, Andrei Tchernykh
Publikováno v:
International Journal of Transportation Science and Technology, Vol 8, Iss 1, Pp 53-67 (2019)
This article presents a parallel evolutionary algorithm for public transport optimization by synchronizing traffic lights in the context of Bus Rapid Transit systems. The related optimization problem is NP-hard, so exact computational methods are not
Externí odkaz:
https://doaj.org/article/9f39e3fd336e41d2a683b378c824b064
Publikováno v:
Dyna, Vol 85, Iss 204, Pp 108-116 (2018)
El problema de ensamblado de fragmentos de cadenas de ácido desoxirribonucleico (Deoxyribonucleic Acid Fragment Assembly Problem, DNA-FAP) consiste en la reconstrucción de cadenas de ADN desde un conjunto de fragmentos tomados aleatoriamente. El DN
Externí odkaz:
https://doaj.org/article/5f78e70a9293403f88e3a354bd9d850e
Publikováno v:
Operations Research Perspectives, Vol 6, Iss , Pp - (2019)
Optimization via Simulation (OvS) is an useful optimization tool to find a solution to an optimization problem that is difficult to model analytically. OvS consists in evaluating potential solutions through simulation executions; however, its high co
Externí odkaz:
https://doaj.org/article/0947cc26538e4f7bb482add29c1b70ed
Publikováno v:
Dyna, Vol 82, Iss 190, Pp 82-88 (2015)
En este trabajo se presenta una técnica híbrida que combina un Algoritmo Genético con meta-heurísticas para la resolución de un problema en las plantas productivas de RENAULT Francia. El método comienza con una solución inicial por medio de GR
Externí odkaz:
https://doaj.org/article/13dfaec69ed540a3bcc020cb9e0d44f7
Publikováno v:
IEEE Latin America Transactions. 20:2363-2370
Publikováno v:
IEEE Latin America Transactions. 20:2381-2387