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A bibliometric analysis of membrane computing (1998–2019)
Membrane computing as a topic in the Mathematics Subjects Classification 2020 by Mathematical Reviews and zbMATH is a sign of maturity of this...
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Membrane computing with harmony search algorithm for gene selection from expression and methylation data
Selecting disease-causing genes from gene expression and methylation data with hundreds of thousands of loci is of great benefit for cancer diagnosis...
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SiMaLSTM-SNP: novel semantic relatedness learning model preserving both Siamese networks and membrane computing
Semantic relatedness is one of the most significant aspects of natural language processing. It has been identified as a critical technology for...
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Estimation of minimum viable population for giant panda ecosystems with membrane computing models
Even though the giant panda’s extinction status is downgraded from endangered to vulnerable, but the animals still face an uphill battle for...
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Membrane Computing 21st International Conference, CMC 2020, Virtual Event, September 14–18, 2020, Revised Selected Papers
This book constitutes the refereed post-conference proceedings of the 21st International Conference on Membrane Computing, CMC 2020, held as a...
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A semantic and intelligent focused crawler based on semantic vector space model and membrane computing optimization algorithm
The focused crawler downloads web pages related to the given topic from the Internet. In many research studies, most of focused crawler predict the...
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On the power of boundary rule application in membrane computing
In this paper, it is investigated how different features of membrane systems can be simulated by the boundary rule application. Firstly, it is...
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Membrane Computing Models: Implementations
The theoretical basis of membrane computing was established in the early 2000s with fundamental research into the computational power, complexity...
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Programmable and parallel water computing
We further the work on a recently proposed membrane computing model which utilises decentralised water tanks interconnected by pipes with water flow...
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Implementing perceptrons by means of water-based computing
Water-based computing emerged as a branch of membrane computing in which water tanks act as permeable membranes connected via pipes. Valves residing...
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A membrane computing optimization algorithm with multi-subsystems for parameter estimation of heavy oil thermal cracking model
AbstractHeavy oil thermal cracking is a complex multivariable and important petrochemical reaction process. The accurate kinetic models are of great...
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Multi-grained system integration for hybrid-paradigm brain-inspired computing
Hybrid neuromorphic computing supporting the prevailing artificial neural networks and neuroscience-inspired models/algorithms offers substantial...
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Bio-Inspired Computing: Theories and Applications 18th International Conference, BIC-TA 2023, Changsha, China, December 15–17, 2023, Revised Selected Papers, Part II
The two-volume set CCIS 2061 and 2062 constitutes the refereed post-conference proceedings of the 18th International Conference on Bio-Inspired...
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Bio-Inspired Computing: Theories and Applications 18th International Conference, BIC-TA 2023, Changsha, China, December 15–17, 2023, Revised Selected Papers, Part I
The two-volume set CCIS 2061 and 2062 constitutes the refereed post-conference proceedings of the 18th International Conference on Bio-Inspired...
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Membrane creation and symport/antiport rules solving QSAT
In Membrane Computing, different variants of devices can be found by changing both syntactical and semantic ingredients. These devices are usually...
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Morphogenetic computing: computability and complexity results
A morphogenetic (M) system is an abstract computational model combining properties of membrane (P) systems, such as computing via abstract particles...
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In-memory computing based on phase change memory for high energy efficiency
The energy efficiency issue caused by the memory wall in traditional von Neumann architecture is difficult to reconcile. In-memory computing (CIM)...
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Hexagonal picture generation in DNA computing
Hexagonal picture languages are essential for studying the topological properties of a digital image. The P system and grammar are used in the...
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MEAHO: Membrane Evolutionary Algorithm for Hyperparameter Optimization of Deep Convolutional Neural Networks
Membrane algorithm has been used to solve many optimization problems since it was put forward. These methods used the membrane algorithm as a...
