Hong Peng

Antonio Ramírez-de-Arellano

IEEE Trans. Cybern., March, 2024

Feature fusion method based on spiking neural convolutional network for edge detection.

[BibT_eX]

[DOI]

Qian Yang

Pattern Recognit., March, 2024

Reservoir computing models based on spiking neural P systems for time series classification.

[BibT_eX]

[DOI]

Neural Networks, January, 2024

Sequence recommendation using multi-level self-attention network with gated spiking neural P systems.

[BibT_eX]

[DOI]

Antonio Ramírez-de-Arellano

Inf. Sci., January, 2024

2023

Recurrent convolutional model based on gated spiking neural P system for stereo matching networks.

[BibT_eX]

[DOI]

Chenggang Guo

Appl. Intell., December, 2023

Gated Spiking Neural P Systems for Time Series Forecasting.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., September, 2023

An Attention-Aware Long Short-Term Memory-Like Spiking Neural Model for Sentiment Analysis.

[BibT_eX]

[DOI]

Int. J. Neural Syst., August, 2023

Sentiment classification using bidirectional LSTM-SNP model and attention mechanism.

[BibT_eX]

[DOI]

Expert Syst. Appl., July, 2023

SDDC-Net: A U-shaped deep spiking neural P convolutional network for retinal vessel segmentation.

[BibT_eX]

[DOI]

Digit. Signal Process., May, 2023

Edge Detection Method Based on Nonlinear Spiking Neural Systems.

[BibT_eX]

[DOI]

Int. J. Neural Syst., January, 2023

Nonlinear spiking neural P systems with multiple channels.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2023

Attention-enabled gated spiking neural P model for aspect-level sentiment classification.

[BibT_eX]

[DOI]

Neural Networks, 2023

A Prediction Model Based on Gated Nonlinear Spiking Neural Systems.

[BibT_eX]

[DOI]

Int. J. Neural Syst., 2023

Multi-stages attention Breast cancer classification based on nonlinear spiking neural P neurons with autapses.

[BibT_eX]

[DOI]

CoRR, 2023

SLP-Net: An efficient lightweight network for segmentation of skin lesions.

[BibT_eX]

[DOI]

CoRR, 2023

Connectivity Enhancement of E-VANET Based on QL-mRSU Self-Learning Energy-Saving Algorithm.

[BibT_eX]

[DOI]

IEEE Access, 2023

2022

Computational completeness of spiking neural P systems with inhibitory rules for generating string languages.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2022

Dynamic threshold P systems with delay on synapses for shortest path problems.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2022

Multivariate time series forecasting method based on nonlinear spiking neural P systems and non-subsampled shearlet transform.

[BibT_eX]

[DOI]

Neural Networks, 2022

Echo spiking neural P systems.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

LSTM-SNP: A long short-term memory model inspired from spiking neural P systems.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

ConvSNP: a deep learning model embedded with SNP-like neurons.

[BibT_eX]

[DOI]

J. Membr. Comput., 2022

Supervisory control of discrete event systems under asynchronous spiking neuron P systems.

[BibT_eX]

[DOI]

Inf. Sci., 2022

An unsupervised segmentation method based on dynamic threshold neural P systems for color images.

[BibT_eX]

[DOI]

Inf. Sci., 2022

A Time Series Forecasting Approach Based on Nonlinear Spiking Neural Systems.

[BibT_eX]

[DOI]

Int. J. Neural Syst., 2022

A novel edge detection method based on dynamic threshold neural P systems with orientation.

[BibT_eX]

[DOI]

Digit. Signal Process., 2022

2021

Computational power of dynamic threshold neural P systems for generating string languages.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2021

Computational power of sequential dendrite P systems.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2021

A novel fusion method based on dynamic threshold neural P systems and nonsubsampled contourlet transform for multi-modality medical images.

[BibT_eX]

[DOI]

Bo Li

Signal Process., 2021

Medical image fusion based on DTNP systems and Laplacian pyramid.

[BibT_eX]

[DOI]

J. Membr. Comput., 2021

Computational power of sequential spiking neural P systems with multiple channels.

[BibT_eX]

[DOI]

J. Membr. Comput., 2021

Reliability evaluation of distribution network based on fuzzy spiking neural P system with self-synapse.

[BibT_eX]

[DOI]

J. Membr. Comput., 2021

Spiking neural P systems with autapses.

[BibT_eX]

[DOI]

Xiaoxiao Song

Inf. Sci., 2021

Spiking Neural P Systems with Delay on Synapses.

[BibT_eX]

[DOI]

Xiaoxiao Song

Int. J. Neural Syst., 2021

Spiking Neural P Systems with Extended Channel Rules.

[BibT_eX]

[DOI]

Int. J. Neural Syst., 2021

Medical Image Fusion Method Based on Coupled Neural P Systems in Nonsubsampled Shearlet Transform Domain.

[BibT_eX]

[DOI]

Int. J. Neural Syst., 2021

Nonlinear neural P systems for generating string languages.

[BibT_eX]

[DOI]

Inf. Comput., 2021

Computational completeness of sequential spiking neural P systems with inhibitory rules.

[BibT_eX]

[DOI]

Inf. Comput., 2021

Multi-focus image fusion approach based on CNP systems in NSCT domain.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2021

2020

Spiking neural P systems with structural plasticity and anti-spikes.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2020

kNN-P: A kNN classifier optimized by P systems.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2020

Dendrite P systems.

[BibT_eX]

[DOI]

Neural Networks, 2020

Spiking neural P systems with inhibitory rules.

[BibT_eX]

[DOI]

Ignacio Pérez-Hurtado

Knowl. Based Syst., 2020

Multi-focus image fusion based on dynamic threshold neural P systems and surfacelet transform.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Sequential dynamic threshold neural P systems.

[BibT_eX]

[DOI]

J. Membr. Comput., 2020

Sequential Coupled Neural P Systems.

[BibT_eX]

[DOI]

Int. J. Unconv. Comput., 2020

Small universal asynchronous spiking neural P systems with multiple channels.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Nonlinear Spiking Neural P Systems.

[BibT_eX]

[DOI]

Int. J. Neural Syst., 2020

Small Universal Numerical P Systems with Thresholds for Computing Functions.

[BibT_eX]

[DOI]

Fundam. Informaticae, 2020

A weighted corrective fuzzy reasoning spiking neural P system for fault diagnosis in power systems with variable topologies.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2020

Asynchronous Spiking Neural P Systems with Multiple Channels and Symbols.

[BibT_eX]

[DOI]

Comput. Informatics, 2020

Stochastic Numerical P Systems With Application in Data Clustering Problems.

[BibT_eX]

[DOI]

IEEE Access, 2020

An Editable k-Nearest Neighbor Classifier Based on Tissue-Like P Systems.

[BibT_eX]

[DOI]

Proceedings of the Bio-Inspired Computing: Theories and Applications, 2020

2019

Coupled Neural P Systems.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Numerical P systems with Boolean condition.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2019

Dynamic threshold neural P systems.

[BibT_eX]

[DOI]

Miguel A. Gutiérrez-Naranjo

Knowl. Based Syst., 2019

Membrane computing and image processing: a short survey.

[BibT_eX]

[DOI]

Daniel Díaz-Pernil

J. Membr. Comput., 2019

On String Languages Generated by Spiking Neural P Systems with Multiple Channels.

[BibT_eX]

[DOI]

Int. J. Unconv. Comput., 2019

Interval-valued fuzzy spiking neural P systems for fault diagnosis of power transmission networks.

[BibT_eX]

[DOI]

Chengyu Tao

Xiangnian Huang

Eng. Appl. Artif. Intell., 2019

Spiking neural P systems with multiple channels and polarizations.

[BibT_eX]

[DOI]

Biosyst., 2019

Modeling Fault Propagation Paths in Power Systems: A New Framework Based on Event SNP Systems With Neurotransmitter Concentration.

[BibT_eX]

[DOI]

IEEE Access, 2019

2018

Fault Diagnosis of Power Systems Using Intuitionistic Fuzzy Spiking Neural P Systems.

[BibT_eX]

[DOI]

Wenping Yu

Chengyu Tao

IEEE Trans. Smart Grid, 2018

Adaptive fuzzy c-means clustering algorithm for interval data type based on interval-dividing technique.

[BibT_eX]

[DOI]

Pattern Anal. Appl., 2018

A Spectral Clustering Algorithm Improved by P Systems.

[BibT_eX]

[DOI]

Int. J. Comput. Commun. Control, 2018

Spiking neural P systems with multiple channels and anti-spikes.

[BibT_eX]

[DOI]

Biosyst., 2018

On Small Universality of Spiking Neural P Systems with Multiple Channels.

[BibT_eX]

[DOI]

Proceedings of the Membrane Computing, 2018

A Kernel-Based Membrane Clustering Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Enjoying Natural Computing, 2018

2017

Spiking neural P systems with multiple channels.

[BibT_eX]

[DOI]

Neural Networks, 2017

A hybrid approach based on tissue P systems and artificial bee colony for IIR system identification.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2017

Multiobjective fuzzy clustering approach based on tissue-like membrane systems.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2017

Fault diagnosis of power systems using fuzzy tissue-like P systems.

[BibT_eX]

[DOI]

Integr. Comput. Aided Eng., 2017

A kNN classifier optimized by P systems.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Natural Computation, 2017

2016

Membrane computing model for IIR filter design.

[BibT_eX]

[DOI]

Inf. Sci., 2016

An Extended Membrane System with Active Membranes to Solve Automatic Fuzzy Clustering Problems.

[BibT_eX]

[DOI]

Int. J. Neural Syst., 2016

The Implementation of Membrane Clustering Algorithm Based on FPGA.

[BibT_eX]

[DOI]

Proceedings of the Bio-inspired Computing - Theories and Applications, 2016

Fault Diagnosis of Power Systems Based on Triangular Fuzzy Spiking Neural P Systems.

[BibT_eX]

[DOI]

Proceedings of the Bio-inspired Computing - Theories and Applications, 2016

Matrix Representation of Parallel Computation for Spiking Neural P Systems.

[BibT_eX]

[DOI]

Proceedings of the Bio-inspired Computing - Theories and Applications, 2016

2015

An automatic clustering algorithm inspired by membrane computing.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2015

An unsupervised learning algorithm for membrane computing.

[BibT_eX]

[DOI]

Inf. Sci., 2015

Optimal multi-level thresholding with membrane computing.

[BibT_eX]

[DOI]

Digit. Signal Process., 2015

Parallel Implementation of P Systems for Data Clustering on GPU.

[BibT_eX]

[DOI]

Proceedings of the Bio-Inspired Computing - Theories and Applications, 2015

Cell-Like Fuzzy P System and Its Application of Coordination Control in Micro-grid.

[BibT_eX]

[DOI]

Proceedings of the Bio-Inspired Computing - Theories and Applications, 2015

2014

The framework of P systems applied to solve optimal watermarking problem.

[BibT_eX]

[DOI]

Signal Process., 2014

2013

Weighted Fuzzy Spiking Neural P Systems.

[BibT_eX]

[DOI]

Tao Wang

IEEE Trans. Fuzzy Syst., 2013

Audio watermarking scheme robust against desynchronization attacks based on kernel clustering.

[BibT_eX]

[DOI]

Zulin Zhang

Multim. Tools Appl., 2013

A novel image thresholding method based on membrane computing and fuzzy entropy.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2013

Fuzzy reasoning spiking neural P system for fault diagnosis.

[BibT_eX]

[DOI]

Hao Wang

Jie Shao

Tao Wang

Inf. Sci., 2013

Adaptive fuzzy spiking neural P systems for fuzzy inference and learning.

[BibT_eX]

[DOI]

Int. J. Comput. Math., 2013

A learning-based audio watermarking scheme using kernel Fisher discriminant analysis.

[BibT_eX]

[DOI]

Digit. Signal Process., 2013

2011

An optimal image watermarking approach based on a multi-objective genetic algorithm.

[BibT_eX]

[DOI]

Inf. Sci., 2011

Optimal audio watermarking scheme using genetic optimization.

[BibT_eX]

[DOI]

Ann. des Télécommunications, 2011

2010

Image watermarking method in multiwavelet domain based on support vector machines.

[BibT_eX]

[DOI]

Weixing Wang

J. Syst. Softw., 2010

Fuzzy knowledge representation based on an improving spiking neural P system.

[BibT_eX]

[DOI]

Proceedings of the Sixth International Conference on Natural Computation, 2010

Adaptive spiking neural P systems.

[BibT_eX]

[DOI]

Proceedings of the Sixth International Conference on Natural Computation, 2010

Knowledge representation using fuzzy spiking neural P system.

[BibT_eX]

[DOI]

Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

Timed spiking neural P systems.

[BibT_eX]

[DOI]

Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

2009

Adaptive Image Watermarking Approach Based on Kernel Clustering and HVS.

[BibT_eX]

[DOI]

Weixing Wang

Proceedings of the Fuzzy Logic and Applications, 8th International Workshop, 2009

An Adaptive Audio Watermarking Method Based on Local Audio Feature and Support Vector Regression.

[BibT_eX]

[DOI]

Weixing Wang

Proceedings of the 10th ACIS International Conference on Software Engineering, 2009

2008

A Robust Watermarking Scheme Based on Audio Features in Multiwavelet Domain.

[BibT_eX]

[DOI]

Proceedings of the PACIIA 2008, 2008

A Color Image Watermarking Scheme in Wavelet Domain Based on Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the PACIIA 2008, 2008

A Novel Blind Image Watermarking Scheme Based on Support Vector Machine in DCT Domain.

[BibT_eX]

[DOI]

Proceedings of the 2008 International Conference on Computational Intelligence and Security, 2008

2007

DWT-Based Audio Watermarking Using Support Vector Regression and Subsampling.

[BibT_eX]

[DOI]

Xiaojuan Xu

Chengyuan He

Proceedings of the Applications of Fuzzy Sets Theory, 2007

Adaptive Watermarking Algorithm Using SVR in Wavelet Domain.

[BibT_eX]

[DOI]

Jun Li

Zheng Pei

Proceedings of the 6th Annual IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007

2006

Identification of Dynamic Systems Using Recurrent Fuzzy Wavelet Network.

[BibT_eX]

[DOI]

Jian Xiao

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Nonlinear System Identification Using Multi-resolution Reproducing Kernel Based Support Vector Regression.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Research for a Dynamic Recurrent Fuzzy Wavelet Network.

[BibT_eX]

[DOI]

Zhigang Wang

Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006

Support Vector Regression Based on Scaling Reproducing Kernel for Black-Box System Identification.

[BibT_eX]

[DOI]

Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006

Filtering E-Mail Based on Fuzzy Support Vector Machines and Aggregation Operator.

[BibT_eX]

[DOI]

Jilin Yang

Zheng Pei

Proceedings of the Neural Information Processing, 13th International Conference, 2006

2005

Position Control for PM Synchronous Motor Using Fuzzy Neural Network.

[BibT_eX]

[DOI]

Xiao Jian

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Constructing Multi-resolution Support Vector Regression Modelling.

[BibT_eX]

[DOI]

Zheng Pei