Membrane computing is a well-known research area in computer science inspired by the
organization and behavior of live cells and tissues. Their computational devices, called P …

Cellular automata (CAs) are dynamical systems which exhibit complex global behavior from
simple local interaction and computation. Since the inception of cellular automaton (CA) by …

This paper describes the application of cellular automata (CA) to various image processing
tasks such as denoising and feature detection. Whereas our previous work mainly dealt with …

Wildfires could pose a significant danger to electrical transmission lines and cause
considerable losses to the power grids and residents nearby. Previous studies of preventing …

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 …

Abstract The Los Tuxtlas mountain range harbors one of the last remnants of tropical rain
forest on the coastal plain of the Gulf of Mexico. This volcanic range has a high degree of …

Memristor-based circuits offer low hardware costs and in-memory computing, but full-
memristive circuit integration for different algorithm remains limited. Cellular automata (CA) …

In this paper, we propose a cellular edge detection (CED) algorithm which utilizes cellular
automata (CA) and cellular learning automata (CLA). The CED algorithm is an adaptive …

Illegal migration as well as wildfires constitute commonplace situations in southern
European countries, where the mountainous terrain and thick forests make the surveillance …