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F
Peng, H., Wang J., Pérez-Jiménez M. J., & Riscos-Núñez A. (2014).  The framework of P systems applied to solve optimal watermarking problem. Signal Processing. 101, 256-265.
Wang, T., Zhang G., & Pérez-Jiménez M. J. (2015).  Fuzzy Membrane Computing: Theory and Applications. International Journal of Computers, Communications and Control. 10(6), 904-935. Abstract
Peng, H., Wang J., Pérez-Jiménez M. J., Wang H., Shao J., & Wang T. (2013).  Fuzzy reasoning spiking neural P system for fault diagnosis. Information Sciences. 235, 106–116. Abstract
I
Peng, H., Shao J., Li B., Wang J., Pérez-Jiménez M. J., Jiang Y., et al. (2012).  Image Thresholding with Cell-like P Systems. Tenth Brainstorming Week on Membrane Computing. II, 75-88. Abstract
Wang, J., Peng H., Yu W., Ming J., Pérez-Jiménez M. J., Tao C., et al. (2019).  Interval-valued fuzzy spiking neural P systems for fault diagnosis of power transmission networks. Engineering Applications of Artificial Intelligence. 82, 102 - 109. Abstract
K
Yang, J., Chen R., Zhang G., Peng H., Wang J., & Riscos-Núñez A. (2018).  A Kernel-Based Membrane Clustering Algorithm. Enjoying Natural Computing: Essays Dedicated to Mario de Jesús Pérez-Jiménez on the Occasion of His 70th Birthday. 318-329.
M
Li, B., Peng H., Luo X., Wang J., Song X., Pérez-Jiménez M. J., et al. (2021).  Medical Image Fusion Method Based on Coupled Neural P Systems in Nonsubsampled Shearlet Transform Domain. International Journal of Neural Systems. 31(1), 2050050.
Peng, H., Jiang Y., Wang J., & Pérez-Jiménez M. J. (2015).  Membrane clustering algorithm with hybrid evolutionary mechanisms. Journal of Software. 26(6), 1001-1012.
Peng, H., Zhang J., Wang J., Wang T., Pérez-Jiménez M. J., & Riscos-Núñez A. (2014).  Membrane Clustering: A Novel Clustering Algorithm under Membrane Computing. Twelfth Brainstorming Week on Membrane Computing (BWMC2014). 311-328.
Pérez-Jiménez, M. J., & Yokomori T. (2009).  Membrane Computing schema: A new approach to computation using string insertion. (A. Condon, D. Harel, J. N. Kon, Arto Salomaa, Eric Winfree, Ed.).Algorithmic Bioprocesses. V, 293-309. Abstract
Woods, D., Murphy N., Pérez-Jiménez M. J., & Riscos-Núñez A. (2009).  Membrane dissolution and division in P. Lecture Notes in Computer Science. 5717, 262-276. Abstract
Wang, T., Wei X., Huang T., Wang J., Peng H., Pérez-Jiménez M. J., et al. (2019).  Modeling Fault Propagation Paths in Power Systems: A New Framework Based on Event SNP Systems With Neurotransmitter Concentration. IEEE Access. 7, 12798-12808.
Gutiérrez-Naranjo, M. A., Pérez-Jiménez M. J., & Riscos-Núñez A. (2005).  Multidimensional descriptional complexity of P systems. (C. Mereghetti, B. Palano, G. Pighizzini, D. Wotschke, Ed.).7th International Workshop on Descriptional Complexity of Formal Systems. 134-145.
Peng, H., Shi P., Wang J., Riscos-Núñez A., & Pérez-Jiménez M. J. (2017).  Multiobjective fuzzy clustering approach based on tissue-like membrane systems. Knowledge-Based Systems. 125, 74-82.
N
Peng, H., Lv Z., Li B., Luo X., Wang J., Song X., et al. (2020).  Nonlinear Spiking Neural P Systems. International Journal of Neural Systems. 30(10), 2050008.
Ibarra, O., Paun G., Rodríguez-Patón A., Sosik P., & Woodworth S. (2006).  Normal Forms for Spiking Neural P Systems. Fourth Brainstorming Week on Membrane Computing . II, 105-135.
Ibarra, O., Paun A., Paun G., Rodríguez-Patón A., Sosik P., & Woodworth S. (2007).  Normal forms for spiking neural P systems. Theoretical Computer Science. 372(2-3), 196-217. Abstract
Peng, H., Wang J., Pérez-Jiménez M. J., & Shi P. (2013).  A novel image thresholding method based on membrane computing and fuzzy entropy. Journal of Intelligent and Fuzzy Systems. 2, 229-237. Abstract
O
Murphy, N., & Woods D. (2008).  On acceptance conditions for membrane systems: characterisations of L and NL. (Turlough Neary, Damien Woods, Anthony K. Seda, Niall Murphy, Ed.).The Complexity of Simple Programs. 225-242.
P
Yuan, W., Zhang G., Pérez-Jiménez M. J., Wang T., & Huan Z. (2015).  P systems based computing polynomials: Design and formal verification. Asian Conference on Membrane Computing (ACMC 2015). 1, 1-9. Abstract
Yuan, W., Zhang G., Pérez-Jiménez M. J., Wang T., & Huang Z. (2016).  P systems based computing polynomials: design and formal verification. Natural Computing. 15(4), 591–596.
Pérez-Jiménez, M. J. (2013).  The P versus NP problem: Unconventional insights from Membrane Computing. (Gexiang Zhang, Y. Wang, J. Cheng, T. Wang, Ed.).Second Asian Conference on Membrane Computing. 7.
Pérez-Hurtado, I., Valencia-Cabrera L., Chacón J. M., Riscos-Núñez A., & Pérez-Jiménez M. J. (2013).  A P-Lingua based simulator for tissue P systems with cell separation. (Gexiang Zhang, Y. Wang, J. Cheng, T. Wang, Ed.).Second Asian Conference on Membrane Computing. 208-220.
Pérez-Jiménez, M. J., Romero-Jiménez Á., & Sancho-Caparrini F. (2003).  A Polynomial Complexity Class in P Systems Using Membrane Division. (Erzsebet Csuhaj-Varjú, C. Kintala, D. Wotschke, György Vaszil, Ed.).Fifth International Workshop on Descriptional Complexity of Formal Systems. 284-294.
S
Valencia-Cabrera, L., Wu T., Zhang Z., Pan L., & Pérez-Jiménez M. J. (2017).  A simulation software tool for cell-like spiking neural P systems. Romanian Journal of Information Science and Technology. vol. 20, no. 1, 71-84.

Statistics

  • Books (11)
  • Edited Books (28)
  • Contributions to Book Chapters (42)
  • Journal Papers (416)
  • Papers in Collective Volumes (0)
  • Technical Reports (3)
  • Conference Contributions (289)
  • Conference Proceedings (37)