Self Organizing Maps for Visual Exploration of Molecular Databases

A Random Neural Network for the Dynamic Multicast Problem

This paper proposes a new heuristic for the dynamic version of the Steiner Tree Problem in Networks (SPN). The heuristic adopts a Random Neural Network (RNN) to improve solutions obtained by previously proposed dynamic algorithms. The Random Neural Network model is adapted to map the intrinsic features of the multicast transmission on a computer network. Exhaustive experiments are carried out to validate the proposed methodology.

Gaming as a Key Approach for the Recovery Process of a Public Space: The Case Study of the Old Chemical Plant ‘Chimica Arenella’ in Palermo

This poster describes the FORGE (FactOry of uRban GamEs) project, a proposal that our research group launched in partnership with the Municipality of Palermo (Italy) and other local stakeholders in 2019. FORGE will be hosted in what was previously a chemical plant (the former 'Chimica Arenella') and is an open factory designed to collect needs and to generate interventions for urban innovation. The four key terms we have used for the project are urban, game, factory and participation. In fact, FORGE employs a participatory methodological model based on the concept of game, aimed at supporting social and economic development through a platform for participatory co-design. FORGE plays also a …