Listar Artículos (Ciencias de la Computación e Inteligencia Artificial) por título
Mostrando ítems 278-297 de 360
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Qom—A New Hydrologic Prediction Model Enhanced with Multi-Objective Optimization
(MDPI, 2019)The efficient calibration of hydrologic models allows experts to evaluate past events in river basins, as well as to ...
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Reachability problems in low-dimensional iterative maps
(World Scientific, 2008)In this paper we analyse the dynamics of one-dimensional piecewise maps (PAMs). We show that one-dimensional PAMs are ...
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Reaching efficiency through collaboration in membrane systems: Dissolution, polarization and cooperation
(Elsevier, 2017)From a computational complexity point of view, some syntactical ingredients play differentroles depending on the kind of ...
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Real-time gun detection in CCTV: An open problem
(Elsevier, 2020-12)Object detectors have improved in recent years, obtaining better results and faster inference time. However, small object ...
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Recent Computability Models Inspired from Biology: DNA and Membrane Computing
(Universidad del País Vasco, 2003)We briefly present two areas of natural computing, vividly investigated in the recent years: DNA computing and membrane ...
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Recognizer P Systems with Antimatter
(Romanian Academy, Section for Information Science and Technology, 2015)In this paper, we consider recognizer P systems with antimatter and the in uence of the matter/antimatter annihilation ...
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Reducing Vehicle Emissions and Fuel Consumption in the City by Using Particle Swarm Optimization
(Springer, 2015)Nowadays in current cities the increasing levels of pollution emissions and fuel consumption derived from the road traffic ...
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Representations and characterizations of languages in Chomsky hierarchy by means of insertion-deletion systems
(World Scientific, 2008)Insertion-deletion operations are much investigated in linguistics and in DNA computing and several characterizations of ...
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Representative datasets for neural networks
(Elsevier, 2018)Neural networks present big popularity and success in many fields. The large training time process problem is a very ...
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Representative Datasets: The Perceptron Case
(Cornell University, 2019)One of the main drawbacks of the practical use of neural networks is the long time needed in the training process. Such ...
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Restart particle swarm optimization with velocity modulation: a scalability test
(Springer, 2011)Large scale continuous optimization problems are more relevant in current benchmarks since they are more representative ...
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Role of a cryptic tRNA gene operon in survival under translational stress
(Oxford Academic, 2021-08-11)As compared to eukaryotes, bacteria have a reduced tRNA gene set encoding between 30 and 220 tR-NAs. Although in most ...
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Seeking computational efficiency boundaries: the Păun’s conjecture
(Springer, 2020)In 2005, Gh. Păun raised an interesting question concerning the role of electrical charges in P systems with active membranes ...
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Segmenting images with gradient-based edge detection using Membrane Computing
(Elsevier, 2013)In this paper, we present a parallel implementation of a new algorithm for segmenting images with gradient-based edge ...
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Semantic Preserving Embeddings for Generalized Graphs
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Semantics for incident identification and resolution reports
(Oxford Academic, 2016)In order to achieve a safe and systematic treatment of security protocols, organizations release a number of technical briefings ...
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Semantics of deductive databases with spiking neural P systems
(Elsevier, 2018)The integration of symbolic reasoning systems based on logic and connectionist systems based on thefunctioning of living ...
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Sensitivity and specificity based multiobjective approach for feature selection: Application to cancer diagnosis
(Elsevier, 2009)The study of the sensitivity and the specificity of a classification test constitute a powerful kind of analysis since ...