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Mostrando ítems 1-10 de 27
Artículo
BIGOWL: Knowledge centered Big Data analytics
(Elsevier, 2019)
Knowledge extraction and incorporation is currently considered to be beneficial for efficient Big Data an- alytics. Knowledge can take part in workflow design, constraint definition, parameter selection and con- figuration, ...
Artículo
Simulation of P systems with active membranes on CUDA
(Oxford University Press, 2010)
P systems or Membrane Systems provide a high-level computational modelling framework that combines the structure and dynamic aspects of biological systems in a relevant and understandable way. They are inherently parallel ...
Artículo
Computing Homology Groups in Binary 2D Imagery by Tissue-like P Systems
(Romanian Academy, Section for Information Science and Technology, 2010)
We present a new solution for the Homology Groups of Binary 2D Image (HGB2I) Problem by using Membrane Computing techniques. This is a classical problem in Homology Theory which tries to calculate the number of connected ...
Capítulo de Libro
Spiking Neural P Systems: A Short Introduction and New Normal Forms
(Editorial Academiei, 2012)
Spiking neural P systems are a class of P systems inspired from the way the neurons communicate with each other by means of electrical impulses (called \spikes"). In the few years since this model was introduced, many ...
Ponencia
Automatic Configuration of NSGA-II with jMetal and irace
(ACM Digital Library, 2019)
jMetal is a Java-based framework for multi-objective optimization with metaheuristics providing, among other features, a wide set of algorithms that are representative of the state-of-the-art. Although it has become a ...
Ponencia
Simulating Spiking Neural P Systems Without Delays Using GPUs
(Fénix Editora, 2011)
We present in this paper our work regarding simulating a type of P sys- tem known as a spiking neural P system (SNP system) using graphics processing units (GPUs). GPUs, because of their architectural optimization for ...
Ponencia
Parallel Simulation of Probabilistic P Systems on Multicore Platforms
(Fénix Editora, 2012)
Ecologists need to model ecosystems to predict how they will evolve over time. Since ecosystems are non-deterministic phenomena, they must express the likelihood of events occurring, and measure the uncertainty of their ...
Artículo
On spiking neural P systems
(Springer, 2010)
This work deals with several aspects concerning the formal verification of SN P systems and the computing power of some variants. A methodology based on the information given by the transition diagram associated with an ...
Capítulo de Libro
Topología simplicial en ACL2
(Universidad de la Rioja, 2010)
Capítulo de Libro
Implementing Enzymatic Numerical P Systems for AI Applications by Means of Graphic Processing Units
(Springer, 2013)
A P system represents a distributed and parallel computing model in which basic data structures are, for instance, multisets and strings. Enzymatic Numerical P Systems (ENPS) are a type of P systems whose basic data ...