Early warning systems are fundamental instruments for the management of critical situations since they are able to signal in advance any anomaly with respect to ordinary situations. The purpose of this paper is to present an early warning system, based on artificial neural networks, for the prevention and control of unauthorized accesses to the air navigation services infrastructure in Italy.
|Titolo:||Early warning system for the prevention and control of unauthorized accesses to air navigation services infrastructures|
GARZIA, FABIO (Corresponding author)
|Data di pubblicazione:||2015|
|Appartiene alla tipologia:||04b Atto di convegno in volume|