Home

Biblio

Export 244 results:
Sort by: [ Author (Asc)] Title Type Year
Filters: First Letter Of Last Name is P  [Clear All Filters]
A B C D E F G H I J K L M N O [P] Q R S T U V W X Y Z   [Show ALL]
P
Paun, G., Rozenberg G., & Salomaa A. (2005).  Dnk Kompjuter. Novaja Paradigms Vytsislenii. 527.
Paun, G. (2008).  From cells to (silicon) computers, and back. (S. Barry Cooper, Benedikt Löwe, Andrea Sorbi, Ed.).New Computational Paradigms. 343-371. Abstract
Paun, G., & Pérez-Jiménez M. J. (2006).   Preface. Special Issue Membrane Computing. International Journal of Foundations of Computer Science. 17(1), 1-2.
Paun, G., & Pérez-Jiménez M. J. (2008).  Special Issue on Membrane Computing. Preface. Fundamenta Informaticae. 87(1), i-ii.
Paun, G., & Pérez-Jiménez M. J. (2003).  Recent Computability Models Inspired from Biology: DNA and Membrane Computing. Theoria. 18(46), 71-84.
Paun, G., Rozenberg G., Salomaa A., Mauri G., & Martín-Vide C. (2004).  Membrane Computing (International Workshop, WMC 2003, Revised Papers). 383.
Paun, G. (2005).  Further Twenty Six Open Problems in Membrane Computing. (Miguel A. Gutiérrez-Naranjo, Agustín Riscos-Núñez, Francisco J. Romero-Campero, Dragos Sburlan, Ed.).Third Brainstorming Week on Membrane Computing. 249-262.
Paun, G., & Pérez-Jiménez M. J. (2012).  dP automata versus right-linear simple matrix grammars. Lecture Notes in Computer Science. 7160, 376-387.
Peña-Cantillana, F., Díaz-Pernil D., Christinal H. A., & Gutiérrez-Naranjo M. A. (2011).  Implementation on CUDA of the Smoothing Problem with Tissue-Like P Systems. International Journal of Natural Computing Research. 2(3), 25-34. Abstract
Peña-Cantillana, F., Díaz-Pernil D., Berciano A., & Gutiérrez-Naranjo M. A. (2011).  A Parallel Implementation of the Thresholding Problem by Using Tissue-Like P Systems. Lecture Notes in Computer Science. 6855 , 277-284.
Peña-Cantillana, F., Berciano A., Díaz-Pernil D., & Gutiérrez-Naranjo M. A. (2012).  Parallel Skeletonizing of Digital Imagery by Using Cellular Automata. Lecture Notes in Computer Science. 7309 , 39-48.
Peña-Cantillana, F., Berciano A., Díaz-Pernil D., & Gutiérrez-Naranjo M. A. (2012).  Parallel Skeletonizing of Digital Imagery by Using Cellular Automata. (M. Ferri, P. Frosini, C. Landi, A. Cerri, B. Di-Fabio, Ed.).Lecture Notes in Computer Science. 7309 , 39-48.
Peña-Cantillana, F., Díaz-Pernil D., Christinal H. A., & Gutiérrez-Naranjo M. A. (2011).  Smoothing Problem in 2D Images with Tissue-like P Systems and Parallel Implementation. Ninth Brainstorming Week on Membrane Computing. 317-328. Abstract
Peng, H., Wang J., Pérez-Jiménez M. J., & Riscos-Núñez A. (2015).  An unsupervised learning algorithm for membrane computing. Information Sciences. 304, 80–91.
Peng, H., Wang J., Pérez-Jiménez M. J., Riscos-Núñez A., Xiao J., & Zhang G. (2015).  Decision Tree Models Induced by Membrane Systems. Workshop on Membrane Computing 2015 (WMC2015), Satellite workshop of UCNC2015. 107-116.
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
Peng, H., Wang J., Pérez-Jiménez M. J., & Riscos-Núñez A. (2019).  Dynamic threshold neural P systems. Knowledge-Based Systems. 163, 875-884.
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.
Peng, H., Wang J., Shi P., Pérez-Jiménez M. J., & Riscos-Núñez A. (2017).  Fault diagnosis of power systems using fuzzy tissue-like P systems. Integrated Computer-Aided Engineering. vol. 24, no. 4, 401-411.
Peng, H., Li B., Wang J., Song X., Wang T., Valencia-Cabrera L., et al. (2020).  Spiking neural P systems with inhibitory rules. Knowledge-Based Systems. 188, 105064. Abstract
Peng, H., Wang J., & Pérez-Jiménez M. J. (2015).   Optimal multi-level thresholding with membrane computing. Digital Signal Processing. 37, 53–64.
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
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.
Peng, H., Wang J., Ming J., Shi P., Pérez-Jiménez M. J., Yu W., et al. (2018).  Fault diagnosis of power systems using intuitionistic fuzzy spiking neural P systems. IEEE Transactions on Smart Grid.
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.

Statistics

  • Books (11)
  • Edited Books (28)
  • Contributions to Book Chapters (42)
  • Journal Papers (421)
  • Papers in Collective Volumes (0)
  • Technical Reports (3)
  • Conference Contributions (289)
  • Conference Proceedings (38)