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Mostrando ítems 11-20 de 233
Artículo
From Super-cells to Robotic Swarms: Two Decades of Evolution in the Simulation of P Systems
(IMCS: International Membrane Computing Society, 2017)
Membrane Computing provides machine-oriented models of computation, with types and variants including different elements inspired from living cells. Proven computationally complete from their inception, they also showed ...
Artículo
Cascading Failures Analysis Considering Extreme Virus Propagation of Cyber-Physical Systems in Smart Grids
(Hindawi, 2019)
Communication networks as smart infrastructure systems play an important role in smart girds to monitor, control, and manage the operation of electrical networks. However, due to the interdependencies between communication ...
Ponencia
Fault Diagnosis Models for Electric Locomotive Systems Based on Fuzzy Reasoning Spiking Neural P Systems
(Springer, 2014)
This paper discusses the application of fuzzy reasoning spiking neural P systems with real numbers (rFRSN P systems) to fault diagnosis of electric locomotive systems. Relationships among breakdown signals and faulty ...
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
The Unique Satisfiability Problem from a Membrane Computing Perspective
(Romanian Academy, Section for Information Science and Technology, 2018)
Complexity class DP is the class of “differences” of any two languages in NP. It verifies that NP[ co-NP DP PNP, where PNP is the second level of the polynomial hierarchy, specifically, it is the class of languages ...
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 ...
Artículo
Optimal multi-level thresholding with membrane computing
(Elsevier, 2015)
The conventional methods are not effective and efficient for image multi-level thresholding due to time-consuming and expensive computation cost. The multi-level thresholding problem can be posed as anoptimization problem, ...
Ponencia
An Optimal Frontier of the Efficiency of Tissue P Systems with Cell Division
(Fénix Editora, 2012)
In the framework of tissue P systems with cell division, the length of communication rules provides a frontier for the tractability of decision problems. On the one hand, the limitation on the efficiency of tissue P ...
Ponencia
Application of Weighted Fuzzy Reasoning Spiking Neural P Systems to Fault Diagnosis in Traction Power Supply Systems of High-speed Railways
(Fénix Editora, 2014)
This paper discusses the application of weighted fuzzy reasoning spiking neu- ral P systems (WFRSN P systems) to fault diagnosis in traction power supply systems (TPSSs) of China high-speed railways. Four types of neurons ...
Artículo
Adaptative parallel simulators for bioinspired computing models
(Elsevier, 2020)
In the Membrane Computing area, P systems are unconventional devices of computation inspired by the structure and processes taking place in living cells. Main successful P system applications lie in computability and ...