Search Results - "Perez, Mario J."

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  1. 1

    An optimization spiking neural p system for approximately solving combinatorial optimization problems by Zhang, Gexiang, Rong, Haina, Neri, Ferrante, Pérez-Jiménez, Mario J

    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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  3. 3

    Spiking neural P systems with neuron division and budding by Pan, LinQiang, Păun, Gheorghe, Pérez-Jiménez, Mario J.

    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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  4. 4

    Spiking neural P systems with weights by Wang, Jun, Hoogeboom, Hendrik Jan, Pan, Linqiang, Păun, Gheorghe, Pérez-Jiménez, Mario J

    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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  5. 5

    Population Dynamics P system (PDP) models: a standardized protocol for describing and applying novel bio-inspired computing tools by Colomer, Maria Àngels, Margalida, Antoni, Pérez-Jiménez, Mario J

    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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  6. 6

    Cascading Failures Analysis Considering Extreme Virus Propagation of Cyber-Physical Systems in Smart Grids by Pérez-Jiménez, Mario J., Valencia-Cabrera, Luis, Wang, Jun, Huang, Tao, Wei, Xiaoguang, Wang, Tao, Fan, Zhennan

    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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  7. 7

    Modeling Fault Propagation Paths in Power Systems: A New Framework Based on Event SNP Systems With Neurotransmitter Concentration by Wang, Tao, Wei, XiaoGuang, Huang, Tao, Wang, Jun, Peng, Hong, Perez-Jimenez, Mario J., Valencia-Cabrera, Luis

    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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  8. 8

    Gated Spiking Neural P Systems for Time Series Forecasting by Liu, Qian, Long, Lifan, Peng, Hong, Wang, Jun, Yang, Qian, Song, Xiaoxiao, Riscos-Nunez, Agustin, Perez-Jimenez, Mario J.

    “…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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  9. 9

    A bio-inspired computing model as a new tool for modeling ecosystems: The avian scavengers as a case study by Colomer, M. Àngels, Margalida, Antoni, Sanuy, Delfí, Pérez-Jiménez, Mario J.

    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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  10. 10

    Dynamic threshold neural P systems by Peng, Hong, Wang, Jun, Pérez-Jiménez, Mario J., Riscos-Núñez, Agustín

    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 by Peng, Hong, Bao, Tingting, Luo, Xiaohui, Wang, Jun, Song, Xiaoxiao, Riscos-Núñez, Agustín, Pérez-Jiménez, Mario J.

    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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  12. 12

    Novosphingobium and its potential role in chronic obstructive pulmonary diseases: insights from microbiome studies by Rutebemberwa, Alleluiah, Stevens, Mark J, Perez, Mario J, Smith, Lynelle P, Sanders, Linda, Cosgrove, Gregory, Robertson, Charles E, Tuder, Rubin M, Harris, J Kirk

    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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  13. 13

    Small universal simple spiking neural P systems with weights by Zeng, XiangXiang, Pan, LinQiang, Pérez-Jiménez, Mario J.

    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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  14. 14

    Attention-enabled gated spiking neural P model for aspect-level sentiment classification by Huang, Yanping, Peng, Hong, Liu, Qian, Yang, Qian, Wang, Jun, Orellana-Martín, David, Pérez-Jiménez, Mario J.

    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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  15. 15

    Application of Neural-Like P Systems With State Values for Power Coordination of Photovoltaic/Battery Microgrids by Wang, Tao, Wang, Jun, Ming, Jun, Sun, Zhang, Wei, Chuanxiang, Lu, Chun, Perez-Jimenez, Mario J.

    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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  16. 16

    Reservoir computing models based on spiking neural P systems for time series classification by Peng, Hong, Xiong, Xin, Wu, Min, Wang, Jun, Yang, Qian, Orellana-Martín, David, Pérez-Jiménez, Mario J

    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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  17. 17

    Nonlinear Spiking Neural Systems With Autapses for Predicting Chaotic Time Series by Liu, Qian, Peng, Hong, Long, Lifan, Wang, Jun, Yang, Qian, Perez-Jimenez, Mario J., Orellana-Martin, David

    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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  18. 18

    Interval-valued fuzzy spiking neural P systems for fault diagnosis of power transmission networks by Wang, Jun, Peng, Hong, Yu, Wenping, Ming, Jun, Pérez-Jiménez, Mario J., Tao, Chengyu, Huang, Xiangnian

    “…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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  19. 19

    P systems based computing polynomials: design and formal verification by Yuan, Weitao, Zhang, Gexiang, Pérez-Jiménez, Mario J., Wang, Tao, Huang, Zhiwei

    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 by Peng, Hong, Shi, Peng, Wang, Jun, Riscos-Núñez, Agustín, Pérez-Jiménez, Mario J.

    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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