A5042125379- DNA and Biological Computing
- Advanced biosensing and bioanalysis techniques
- Modular Robots and Swarm Intelligence
- Cellular Automata and Applications
- semigroups and automata theory
- Algorithms and Data Compression
- Molecular Communication and Nanonetworks
- Network Packet Processing and Optimization
- Genomics and Phylogenetic Studies
- Machine Learning and Algorithms
- Chemical Synthesis and Analysis
- Computability, Logic, AI Algorithms
- Quantum-Dot Cellular Automata
- Advanced Memory and Neural Computing
- Advanced Data Storage Technologies
- Particle Detector Development and Performance
- Distributed and Parallel Computing Systems
- Software Testing and Debugging Techniques
- Gene Regulatory Network Analysis
- Nanopore and Nanochannel Transport Studies
- Underwater Vehicles and Communication Systems
- Lipid Membrane Structure and Behavior
- Image Enhancement Techniques
- Computational Geometry and Mesh Generation
- Advanced Manufacturing and Logistics Optimization
Universidad de Sevilla
2013-2024
Universitat de Lleida
2010
Artificial Intelligence Research Institute
2005
This paper proposes a new variant of spiking neural P systems (in short, SNP systems), nonlinear NSNP systems). In systems, the state each neuron is denoted by real number, and configuration vector used to characterize whole system. A type rules, introduced handle neuron’s firing, where consumed generated amounts spikes are often expressed functions neuron. class distributed parallel nondeterministic computing systems. The computational power discussed. Specifically, it proved that as...
Coupled neural P (CNP) systems are a recently developed Turing-universal, distributed and parallel computing model, combining the spiking coupled mechanisms of neurons. This paper focuses on how to apply CNP handle fusion multi-modality medical images proposes novel image method. Based two with local topology, an framework in nonsubsampled shearlet transform (NSST) domain is designed, where used control low-frequency NSST coefficients. The proposed method evaluated 20 pairs compared seven...
Spiking neural P (SNP) systems are a class of neural-like computing models, abstracted by the mechanism spiking neurons. This article proposes new variant SNP systems, called gated (GSNP) which composed Two mechanisms introduced in nonlinear GSNP consisting reset gate and consumption gate. The two gates used to control updating states Based on neurons, prediction model for time series is developed, known as model. Several benchmark univariate multivariate evaluate proposed compare several...
In tissue P systems several cells (elementary membranes) communicate through symport/antiport rules, thus carrying out a computation. We add to such the basic feature of (cell–like) with active membranes – possibility divide cells. As expected (as it is case for membranes), in this way we get solve computationally hard problems polynomial time; illustrate SAT problem.
This paper focuses on automatic fuzzy clustering problem and proposes a novel method that employs an extended membrane system with active membranes has been designed as its computing framework. The dynamic structure; since can evolve, it is particularly suitable for processing the problem. A modification of differential evolution (DE) mechanism was developed rules objects according to structure object communication mechanisms. Under control both object’s evolution-communication mechanism,...
In recent years, the increasing importance of computational systems biology is leading to an impressive growth knowledge several real-life phenomena. this framework, membrane computing emergent branch within natural that has been successfully used model biological The study these phenomena usually requires execution virtual experiments using mechanisms simulation, implying development ad-hoc tools simulate. However, advance research demanding general solutions avoid necessity custom software...
Fuzzy tissue-like P systems (FTPS), as a new variant of (TPS), is proposed in this paper. FTPS inherits the advantages TPS and has ability dealing with incomplete uncertain information. very suitable to model causal relationship between fault it s protective devices power systems. A forward reasoning algorithm based on developed, then corresponding diagnosis discussed. In order evaluate availability effectiveness model, three case studies transmission system are discussed analyzed, including...
P systems have been proven to be useful as modeling tools in many fields, such Systems Biology and Ecological Modeling. For applications, the acceleration of system simulation is often desired, given computational needs derived from
This paper discusses a new variant of spiking neural P systems (in short, SNP systems), with extended channel rules SNP–ECR systems). are class distributed parallel computing models. In systems, type rule is introduced, called ECR. With an ECR, neuron can send the different numbers spikes to its subsequent neurons. Therefore, provide stronger firing control mechanism compared and multiple channels. We discuss Turing universality systems. It proven that as number generating/accepting devices...