Search Results - "Perez, Mario J."
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An optimization spiking neural p system for approximately solving combinatorial optimization problems
Published in International journal of neural systems (01-08-2014)“…Membrane systems (also called P systems) refer to the computing models abstracted from the structure and the functioning of the living cell as well as from the…”
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The pulmonary endothelial glycocalyx regulates neutrophil adhesion and lung injury during experimental sepsis
Published in Nature medicine (01-08-2012)“…The glycocalyx is a layer of proteoglycans and complex carbohydrates that lines the endothelial cell surface in blood vessels. Schmidt et al . show that in…”
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Spiking neural P systems with neuron division and budding
Published in Science China. Information sciences (01-08-2011)“…Spiking neural P systems are a class of distributed and parallel computing models inspired by spiking neurons.In this work,the features of neuron division and…”
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Spiking neural P systems with weights
Published in Neural computation (01-10-2010)“…A variant of spiking neural P systems with positive or negative weights on synapses is introduced, where the rules of a neuron fire when the potential of that…”
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Population Dynamics P system (PDP) models: a standardized protocol for describing and applying novel bio-inspired computing tools
Published in PloS one (09-04-2013)“…Today, the volume of data and knowledge of processes necessitates more complex models that integrate all available information. This handicap has been solved…”
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Cascading Failures Analysis Considering Extreme Virus Propagation of Cyber-Physical Systems in Smart Grids
Published in Complexity (New York, N.Y.) (01-01-2019)“…Communication networks as smart infrastructure systems play an important role in smart girds to monitor, control, and manage the operation of electrical…”
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Modeling Fault Propagation Paths in Power Systems: A New Framework Based on Event SNP Systems With Neurotransmitter Concentration
Published in IEEE access (2019)“…To reveal fault propagation paths is one of the most critical studies for the analysis of power system security; however, it is rather difficult. This paper…”
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Gated Spiking Neural P Systems for Time Series Forecasting
Published in IEEE transaction on neural networks and learning systems (01-09-2023)“…Spiking neural P (SNP) systems are a class of neural-like computing models, abstracted by the mechanism of spiking neurons. This article proposes a new variant…”
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A bio-inspired computing model as a new tool for modeling ecosystems: The avian scavengers as a case study
Published in Ecological modelling (10-01-2011)“…The models used for ecosystems modeling are generally based on differential equations. However, in recent years new computational models based on biological…”
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Dynamic threshold neural P systems
Published in Knowledge-based systems (01-01-2019)“…Pulse coupled neural networks (PCNN, for short) are models abstracting the synchronization behavior observed experimentally for the cortical neurons in the…”
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Dendrite P systems
Published in Neural networks (01-07-2020)“…It was recently found that dendrites are not just a passive channel. They can perform mixed computation of analog and digital signals, and therefore can be…”
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Novosphingobium and its potential role in chronic obstructive pulmonary diseases: insights from microbiome studies
Published in PloS one (23-10-2014)“…Bacterial infection of lung airways underlies some of the main complications of COPD, significantly impacting disease progression and outcome. Colonization by…”
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Small universal simple spiking neural P systems with weights
Published in Science China. Information sciences (01-09-2014)“…Spiking neural P systems with weights(WSN P systems,for short) are a new variant of spiking neural P systems,where the rules of a neuron are enabled when the…”
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Attention-enabled gated spiking neural P model for aspect-level sentiment classification
Published in Neural networks (01-01-2023)“…Gated spiking neural P (GSNP) model is a recently developed recurrent-like network, which is abstracted by nonlinear spiking mechanism of nonlinear spiking…”
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Application of Neural-Like P Systems With State Values for Power Coordination of Photovoltaic/Battery Microgrids
Published in IEEE access (01-01-2018)“…The power coordination control of a photovoltaic/battery microgrid is performed with a novel bio-computing model within the framework of membrane computing…”
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Reservoir computing models based on spiking neural P systems for time series classification
Published in Neural networks (01-01-2024)“…Nonlinear spiking neural P (NSNP) systems are neural-like membrane computing models with nonlinear spiking mechanisms. Because of this nonlinear spiking…”
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Nonlinear Spiking Neural Systems With Autapses for Predicting Chaotic Time Series
Published in IEEE transactions on cybernetics (01-03-2024)“…Spiking neural P (SNP) systems are a class of distributed and parallel neural-like computing models that are inspired by the mechanism of spiking neurons and…”
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Interval-valued fuzzy spiking neural P systems for fault diagnosis of power transmission networks
Published in Engineering applications of artificial intelligence (01-06-2019)“…It is a challenge problem how to deal with the uncertainty in fault diagnosis of power systems. To solve the challenge problem, this paper introduces an…”
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P systems based computing polynomials: design and formal verification
Published in Natural computing (01-12-2016)“…Automatic design of P systems is an attractive research topic in the community of membrane computing. Differing from the previous work that used evolutionary…”
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Multiobjective fuzzy clustering approach based on tissue-like membrane systems
Published in Knowledge-based systems (01-06-2017)“…•We develop a multiobjective clustering framework to deal with fuzzy clustering problem.•We design a tissue-like membrane system with a special cell structure,…”
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