As with any fast-emerging research front in computer science, the proliferation of theoretical
and practical results within Membrane computing since its appearance in 1998 was …

The integration and development of electronics in the recent years have impacted a major
development on the world and humans, one among that is nanotechnology …

In recent years, incremental sampling-based motion planning algorithms have been widely
used to solve robot motion planning problems in high-dimensional configuration spaces. In …

Skeletonization is a common type of transformation within image analysis. In general, the
image B is a skeleton of the black and white image A, if the image B is made of fewer black …

In this paper, we present a parallel implementation of a new algorithm for segmenting
images with gradient-based edge detection by using techniques from Natural Computing …

Membrane computing is a massively parallel and non-deterministic bioinspired computing
paradigm whose models are called P systems. Validating and testing such models is a …

In this work we present further extensions and improvements of a Spiking Neural P system
(for short, SNP systems) simulator on graphics processing units (for short, GPUs). Using …

In this paper we present a Spiking Neural P system (SNP system) simulator based on
graphics processing units (GPUs). In particular we implement the simulator using NVIDIA …

Abstract In the Membrane Computing area, P systems are unconventional devices of
computation inspired by the structure and processes taking place in living cells. Main …

Membrane Computing is a discipline aiming to abstract formal computing models, called
membrane systems or P systems, from the structure and functioning of the living cells as well …