Stereo vision deals with images acquired by a stereo camera setup, where the disparity
between the stereo images allows depth estimation within a scene. 3D information, hence, is …

A Cellular Automaton-based technique suitable for solving the path planning problem in a
distributed robot team is outlined. Real-time path planning is a challenging task that has …

Starting with a cellular automaton that predicts forest fire spreading, a genetic algorithm in
used to design a dedicated parallel processor the results of which are as close as possible …

Seismicity is an extended geophysical characteristic of the Greek dominion. There are
certain areas of high seismic activity, as well as, regions of low seismicity where strong …

Cellular Automata (CAs) are models of physical systems where space and time are discrete
and interactions are only local. CAs are very effective in simulating physical systems and …

Technology computer-aided design (TCAD) is essential for the design of modern integrated
circuit fabrication processes. TCAD tools must not only model real processes accurately, to …

A methodology for the VLSI implementation of Cellular Automata (CA) algorithms using the
VHSIC Hardware Description Language (VHDL) is proposed for the first time. This …

Cellular automata (CA) are a powerful technique for modelling otherwise intractably
complex systems. On the other hand, earthquake can be defined as a spatially extended …

In this study, we first present a modeling mechanism for the loss of neurons in limbic brain
regions (epileptogenic focus) that could cause epileptic seizures by spreading the …

The following problem is solved: Given a Cellular Automaton with continuous state space
which simulates a physical system or process, use a Genetic Algorithm in order to find a …