Component-based development helps to improve the modularity and reusability of embedded systems. Component models devised for embedded systems are typically restricted due to the l...
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
The MIDAS system that we have developed is an automated supply chain management system based on the Service Oriented Architecture and Web Services. MIDAS provides a loosely-couple...
This paper presents a model-based hybrid tracking system for outdoor augmented reality in urban environments enabling accurate, realtime overlays for a handheld device. The system...
Abstract. Common inductive learning strategies offer the tools for knowledge acquisition, but possess some inherent limitations due to the use of fixed bias during the learning p...
Ciro Castiello, Giovanna Castellano, Anna Maria Fa...