The following pages link to Computing with membranes (Q1582013):
Displaying 50 items.
- Solution to PSPACE-complete problem using P systems with active membranes with time-freeness (Q2298575) (← links)
- P systems with proteins: a new frontier when membrane division disappears (Q2299881) (← links)
- Inference of bounded L systems with polymorphic P systems (Q2299882) (← links)
- Minimal cooperation as a way to achieve the efficiency in cell-like membrane systems (Q2299884) (← links)
- Generating context-free languages using spiking neural P systems with structural plasticity (Q2299889) (← links)
- P colonies. Survey (Q2299890) (← links)
- Cell-like P systems with polarizations and minimal rules (Q2306012) (← links)
- kNN-P: a kNN classifier optimized by P systems (Q2309410) (← links)
- Simulating P systems with membrane dissolution in a chemical calculus (Q2311261) (← links)
- Parallel simulation of population dynamics P systems: updates and roadmap (Q2311265) (← links)
- On the universality of purely catalytic P systems (Q2311266) (← links)
- P systems based computing polynomials: design and formal verification (Q2311269) (← links)
- Membrane automata for modeling biomolecular processes (Q2311302) (← links)
- Theory of tailor automata (Q2315015) (← links)
- Numerical P systems with Boolean condition (Q2315020) (← links)
- A uniform solution to SAT problem by symport/antiport P systems with channel states and membrane division (Q2318240) (← links)
- Cell-like spiking neural P systems with evolution rules (Q2318287) (← links)
- Small universal simple spiking neural P systems with weights (Q2335916) (← links)
- Characterising the complexity of tissue P systems with fission rules (Q2403238) (← links)
- An efficient time-free solution to QSAT problem using P systems with proteins on membranes (Q2407106) (← links)
- The computational power of enzymatic numerical P systems working in the sequential mode (Q2413310) (← links)
- Spiking neural P systems with rules on synapses and anti-spikes (Q2413311) (← links)
- Language generating alphabetic flat splicing P systems (Q2413312) (← links)
- Kernel P systems: from modelling to verification and testing (Q2413314) (← links)
- Reversible spiking neural P systems (Q2418644) (← links)
- A path to computational efficiency through membrane computing (Q2422042) (← links)
- Computation power of asynchronous spiking neural P systems with polarizations (Q2422045) (← links)
- Simulation of spatial P system models (Q2440829) (← links)
- Time-free solution to SAT problem using P systems with active membranes (Q2440831) (← links)
- Fuzzy reasoning spiking neural P system for fault diagnosis (Q2446450) (← links)
- P transducers (Q2493275) (← links)
- Solving the subset-problem by P systems with active membrans (Q2493281) (← links)
- Solving HPP and SAT by P systems with active membranes and separation rules (Q2502273) (← links)
- Characterizations of context-sensitive languages and other language classes in terms of symport/antiport P systems (Q2503275) (← links)
- On determinism versus nondeterminism in P systems (Q2575077) (← links)
- Cell communication in tissue \(P\) systems: universality results (Q2576606) (← links)
- About \(P\) systems with symport/antiport (Q2576609) (← links)
- A fast \(P\) system for finding a balanced 2-partition (Q2576610) (← links)
- Further remarks on \(P\) systems with active membranes, separation, merging, and release rules (Q2576613) (← links)
- The computational power of tissue-like P systems with promoters (Q2628775) (← links)
- Numerical P systems with migrating variables (Q2628784) (← links)
- Membrane system models for super-Turing paradigms (Q2629934) (← links)
- Finite state based testing of P systems (Q2655491) (← links)
- A Petri net model for membrane systems with dynamic structure (Q2655493) (← links)
- Efficient simulation of tissue-like P systems by transition cell-like P systems (Q2655494) (← links)
- Transforming communicating X-machines into P systems (Q2655499) (← links)
- Rule synchronization for monodirectional tissue-like P systems with channel states (Q2672272) (← links)
- A model learning based testing approach for spiking neural P systems (Q2672640) (← links)
- Some wonders of a bio-computer-scientist (Q2678667) (← links)
- The environment as a frontier of efficiency in tissue P systems with communication rules (Q2699217) (← links)