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Listar por autor "Campos Francés, Marcelino"

Mostrando ítems 1-12 de 12

A membrane computing simulator of trans-hierarchical antibiotic resistance evolution dynamics in nested ecological compartments (ARES)

Campos Frances, Marcelino; Llorens, Carlos; Sempere Luna, José María; Futami, Ricardo; Rodríguez, Irene; Carrasco, Purificación; Capilla, Rafael; Latorre, Amparo; Coque, Teresa M.; Moya, Andrés; Baquero, Fernando (BioMed Central, 2015)

In this article, we introduce ARES (Antibiotic Resistance Evolution Simulator) a software device that simulates P-system model scenarios with five types of nested computing membranes oriented to emulate a hierarchy of ...
A Model of Antibiotic Resistance Evolution Dynamics Through P Systems with Active Membranes and Communication Rules

Baquero, Fernando; Campos Frances, Marcelino; Llorens, Carlos; Sempere Luna, José María (Springer-Verlag, 2018)
Accepting networks of genetic processors are computationally complete

Campos Frances, Marcelino; Sempere Luna, José María (Elsevier, 2012-10-19)

We propose a computational model that is inspired by genetic operations over strings such as mutation and crossover. The model, Accepting Network of Genetic Processors, is highly related to previously proposed ones such ...
Diseño e implementación de algoritmos para la simulación mediante computación con membranas en dominios de aplicación biológicos

Martínez García, Kevin (Universitat Politècnica de València, 2021-10-06)

[ES] La computación con membranas es un modelo de computación que se inspira en el funcionamiento de una célula eucariota animal. El modelo de sistemas P de transición propuesto por Gheorghe P ˘aun y los diferentes tipos ...
Evaluación de algoritmos para la simulacion estocástica de epidemias mediante sistemas P

Gómez González, Sergio (Universitat Politècnica de València, 2023-09-20)

[ES] En este TFG se plantea la evaluación de algoritmos que permiten la simulación estocástica de computaciones mediante sistemas P que es un modelo de computación natural que se identifica con la computación con membranas. ...
Generating networks of genetic processors

Campos Frances, Marcelino; Sempere Luna, José María (Springer-Verlag, 2022-03)

[EN] The Networks of Genetic Processors (NGPs) are non-conventional models of computation based on genetic operations over strings, namely mutation and crossover operations as it was established in genetic algorithms. ...
P systems in the time of COVID-19

Baquero, Fernando; Campos Frances, Marcelino; Llorens, Carlos; Sempere Luna, José María (Springer, 2021-12)

[EN] In this paper, we present LOIMOS, which is an epidemiological scenario simulator developed in the context of the fight against the pandemic caused by coronavirus SARS-CoV-2 on a global scale. LOIMOS has been fully ...
REDES DE PROCESADORES GENÉTICOS

Campos Frances, Marcelino (Universitat Politècnica de València, 2016-03-07)

[EN] In this research, a new model of computing is presented, within the framework of natural computing and computer models inspired by biology: Networks of Genetic Processors (NGP). This new model is based on the one hand, ...
Simulating Multilevel Dynamics of Antimicrobial Resistance in a Membrane Computing Model

Campos Frances, Marcelino; Capilla, Rafael; Naya, Fernando; Futami, Ricardo; Coque, Teresa; Moya, Andrés; Fernández-Lanza, Val; Cantón, Rafael; Sempere Luna, José María; Llorens, Carlos; Baquero, Fernando (American Society for Microbiology, 2019-02)

[EN] Membrane computing is a bio-inspired computing paradigm whose devices are the so-called membrane systems or P systems. The P system designed in this work reproduces complex biological landscapes in the computer world. ...
Simulating the efficacy of vaccines on the epidemiological dynamics of SARS-CoV-2 in a membrane computing model

Campos Frances, Marcelino; Sempere Luna, José María; Galán, Juan C.; Moya, Andrés; Cantón, Rafael; Llorens, Carlos; Baquero, Fernando (Oxford University Press, 2022-09-16)

[EN] Membrane computing is a natural computing procedure inspired in the compartmental structure of living cells. This approach allows mimicking the complex structure of biological processes, and, when applied to transmissible ...
Simulating the impact of non-pharmaceutical interventions limiting transmission in COVID-19 epidemics using a membrane computing model

Campos Frances, Marcelino; Sempere Luna, José María; Galán, J. C.; Moya, A.; Llorens, C.; de-los-Angeles, C.; Baquero-Artigao, F.; Cantón, R.; Baquero, F. (Oxford University Press, 2021-09-09)

[EN] Epidemics caused by microbial organisms are part of the natural phenomena of increasing biological complexity. The heterogeneity and constant variability of hosts, in terms of age, immunological status, family structure, ...
Simulating the Influence of Conjugative-Plasmid Kinetic Values on the Multilevel Dynamics of Antimicrobial Resistance in a Membrane Computing Model

Campos Frances, Marcelino; San Millan, Alvaro; Sempere Luna, José María; Lanza, Val F.; Coque, Teresa M.; Llorens, Carlos; Baquero, Fernando (American Society for Microbiology, 2020-08)

[EN] Bacterial plasmids harboring antibiotic resistance genes are critical in the spread of antibiotic resistance. It is known that plasmids differ in their kinetic values, i.e., conjugation rate, segregation rate by copy ...