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The simulation model SCIARA: the 1991 and 2001 lava flows at Mount Etna
Abstract Cellular Automata (CA), a paradigm of parallel computing, represent an alternative to differential equations for modelling and simulating very complex phenomena, whose evolution is based onExpand
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Emotion recognition in the wild using deep neural networks and Bayesian classifiers
TLDR
We present a novel combination of deep neural networks and Bayesian classifiers for group emotion recognition in the wild. Expand
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Accelerating wildfire susceptibility mapping through GPGPU
TLDR
In the field of wildfire risk management the so-called burn probability maps (BPMs) are increasingly used with the aim of estimating the probability of each point of a landscape to be burned under certain environmental conditions. Expand
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Revisiting the 1669 Etnean eruptive crisis using a cellular automata model and implications for volcanic hazard in the Catania area
Abstract Cellular Automata provide an alternative approach to standard numerical methods for modelling some complex natural systems, the behaviour of which can be described in terms of localExpand
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OpenMP parallelization of the SCIARA Cellular Automata lava flow model: performance analysis on shared-memory computers
TLDR
This paper shows performance results of the parallelization of a well-known CA model for simulating lava flows – the SCIARA model – in a shared memory environment by means of OpenMP, an Application Programming Interface which supports multi-platform shared-memory parallel programming. Expand
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A parallel cellular tool for interactive modeling and simulation
TLDR
The paper discusses Camel, an interactive parallel programming environment based on cellular automata. Expand
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Simulation of the 1992 Tessina landslide by a cellular automata model and future hazard scenarios
Abstract Cellular Automata are a powerful tool for modelling natural and artificial systems, which can be described in terms of local interactions of their constituent parts. Some types ofExpand
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A macroscopic collisional model for debris-flows simulation
TLDR
We present a family of Cellular Automata models for the simulation of flow-type landslides. Expand
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Predicting the impact of lava flows at Mount Etna, Italy
This work was sponsored by the Italian Ministry for Education, University and Research, FIRB project n° RBAU01RMZ4 “Lava flow simulations by Cellular Automata”, and by the National Civil DefenceExpand
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