Ponencias (Ciencias de la Computación e Inteligencia Artificial)
Envíos recientes
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Ponencia
A stacked deep convolutional neural network to predict the remaining useful life of a turbofan engine
(PHM Society, 2021)his paper presents the data-driven techniques and method ologies used to predict the remaining useful life (RUL) of a ...
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Ponencia
Building knowledge layers and networks from urban digital information
(Universitat Politécnica de Catalunya, 2013)The understanding and management of complex digital information on cities need the use of tools providing experts with ...
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Ponencia
Atlas de terapias urbanas basado en casos reales
(AMPS. Universidad de Sevilla, 2015)El “Atlas de terapias urbanas1 ” se propone como una herramienta encaminada a facilitar la identificación y evaluación ...
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Ponencia
P Systems as a Modeling Framework for Molecular Systems Biology
(Huazhong University of Science and Technology, 2012) -
Ponencia
The P versus NP problem: Unconventional insights from Membrane Computing
(IMCS: International Membrane Computing Society, 2013): The P ?=NP question is one of the outstanding open problems in theoretical computer science. The relevance of this ...
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Artículo
Editorial. Foreword. Special Issue: A selection of papers from the 10th Brainstorming Week on Membrane Computing
(Taylor and Francis, 2013) -
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 ...
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Ponencia
A bioinspired computing approach to model complex systems
(Springer, 2014)The use of models is intrinsic to any scientific activity. In particular, formal/mathematical models provide a relevant ...
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Ponencia
P Systems based Computing Polynomials: Design and Formal Verification
(IMCS: International Membrane Computing Society, 2015)Automatic design of P systems is an attractive research topic in the community of membrane computing. Differing from the ...
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Ponencia
Temporal Fuzzy Reasoning Spiking Neural P Systems with Real Numbers for Power System Fault Diagnosis
(IMCS: International Membrane Computing Society, 2015)This paper proposes a temporal fuzzy reasoning spiking neural P sys- tem with real numbers (rTFRSN P system) and its ...
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Ponencia
CuSNP: Spiking Neural P Systems Simulators in CUDA
(IMCS: International Membrane Computing Society, 2016)Spiking neural P systems (in short, SN P systems) are models of computation inspired by biological neurons. In this work, ...
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Ponencia
A Software Tool for Computer-Aided Design of Cell-like Spiking Neural P Systems
(IMCS: International Membrane Computing Society, 2016)Spiking neural P systems (SN P systems, for short) constitute a class of computing models in the research eld of membrane ...
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Ponencia
Borderlines of efficiency: what’s up?
(IMCS: International Membrane Computing Society, 2016)Some of the theoretical open problems and current challenges concerning P systems from a theoretical perspective will be ...
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Ponencia
An Overview of Hardware Implementations of P Systems
(Xihua University, 2017)Implementing the P systems on parallel hardware is a re- search highlight in bio-inspired computing since the membrane ...
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Ponencia
P Systems based Computing Polynomials with Integer Coefficients: Design and Formal Verification
(Xihua University, 2017)Automatic design of membrane computing models is an im- portant and useful research topic in the area of membrane ...
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Ponencia
Nondeterminism in Spiking Neural P Systems: Algorithms and Simulations
(Xihua University, 2017)Spiking Neural P system (or SN P system) is a computing model based on the neurons in a living being. It is composed of ...
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Ponencia
Generation of rapidly-exploring random trees by using a new class of membrane systems
(Xihua University, 2017)Methods based on Rapidly-exploring Random Trees (RRTs) have been in use in robotics to solve motion planning problems for ...
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Ponencia
A Semantic Frontier of the Efficiency in Membrane Systems
(Centre for Discrete Mathematics and Theoretical Computer Science, 2018)The (presumed) efficiency of computing models is expressed by means of their ability to solve (NP-complete) presumably ...
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Ponencia
A review of membrane computing models for ecosystems and a case study on giant pandas
(IMCS: International Membrane Computing Society, 2019)Ecosystem modeling based on membrane computing is emerging as a powerful way to study the dynamic of (real) ecological ...
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Ponencia
A Framework for Evolving Spiking Neural P Systems with Rules on Synapses
(IMCS: International Membrane Computing Society, 2019)In this paper, we present a genetic algorithm framework for evolving Spiking Neural P Systems with rules on synapses ...