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Application of Neural-Like P Systems With State Values for Power Coordination of Photovoltaic/Battery Microgrids
(IEEE Computer Society, 2018)
The power coordination control of a photovoltaic/battery microgrid is performed with a novel bio-computing model within the framework of membrane computing. First, a neural-like P system with state values (SVNPS) is ...
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On the design of a framework integrating an optimization engine with streaming technologies
(Elsevier, 2020)
A number of streaming technologies have appeared in the last years as a result of the rising of Big Data applications. Nowadays, deciding which technology to adopt is not an easy task due not only to the number of available ...
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Programas moleculares y sistemas lógico-formales
(De Gruyter, 2012)
Presentamos una ejemplificación de la relación entre sistemas formales y programas moleculares de un modelo de computación molecular. Para ello, se asocia un sistema lógico-formal, mediante una lógica pura de segundo orden, ...
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Simulating FAS-induced apoptosis by using P systems
(Taylor and Francis Online, 2007)
In contrast to differential equations, P systems are an unconven- tional model of computation which takes into consideration the discrete character of the quantity of components and the inherent randomness that exists ...
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Inference of gene regulatory networks with multi-objective cellular genetic algorithm
(Elsevier, 2019)
Reverse engineering of biochemical networks remains an important open challenge in computational systems biology. The goal of model inference is to, based on time-series gene expression data, obtain the sparse ...
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Implementation on CUDA of the Smoothing Problem with Tissue-Like P Systems
(IGI GLOBAL, 2011)
Smoothing is often used in Digital Imagery for improving the quality of an image by reducing its level of noise. This paper presents a parallel implementation of an algorithm for smoothing 2D images in the framework of ...
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How to express tumours using membrane systems
(ELSEVIER SCIENCE INC, 2007)
In this paper we discuss the potential usefulness of membrane systems as tools for modelling tumours. The approach is followed both from a macroscopic and a microscopic point of view. In the first case, one considers the ...
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PBIL for optimizing inception module in convolutional neural networks
(Oxford University Press, 2023)
Inception module is one of the most used variants in convolutional neural networks. It has a large portfolio of success cases in computer vision. In the past years, diverse inception flavours, differing in the number of ...
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Trainable and explainable simplicial map neural networks
(ELSEVIER SCIENCE INC, 2024)
Simplicial map neural networks (SMNNs) are topology-based neural networks with interesting properties such as universal approximation ability and robustness to adversarial examples under appropriate conditions. However, ...
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Solving SUBSET SUM by Spiking Neural P Systems with Pre-computed Resources
(IOS Press, 2008)
Recently the possibility of using spiking neural P systems for solving computationally hard problems has been considered. Such solutions assume that some (possibly exponentially large) pre-computed resources are given in ...