Flavio Cannavó

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The aim of this paper is to present a novel distributed genetic algorithm architecture implemented on grid computing by using the G-Lite middleware developed in the EGEE project. Genetic algorithms are known for their capability to solve a wide range of optimization problems and one of the most relevant feature of GAs is their structural parallelism, that(More)
Volcano observatories provide near real-time information and, ultimately, forecasts about volcano activity. For this reason, multiple physical and chemical parameters are continuously monitored. Here, we present a new method to efficiently estimate the location and evolution of magmatic sources based on a stream of real-time surface deformation data, such(More)
This paper describes a visual processing technique for automatic frog (Xenopus Laevis sp.) localization and identification. The problem of frog identification is to process and classify an unknown frog image to determine the identity which is recorded previously on an image database. The frog skin pattern (i.e. texture) provides a unique feature for(More)
Volcanoes constitute dissipative systems with many degrees of freedom. Their eruptions are the result of complex processes that involve interacting chemical-physical systems. At present, due to the complexity of involved phenomena and to the lack of precise measurements, both analytical and numerical models are unable to simultaneously include the main(More)