This paper reports on a new technique for unconstrained license plate detection in a surveillance context. The proposed algorithm quickly finds license plates by performing the fo...
In this paper, we investigate a new architecture-level thermal characterization problem from behavioral modeling perspective to address the emerging thermal related analysis and o...
Software systems are subject to increasing complexity and in need of efficient structuring. Multi-agent system research has come up with approaches for an organization-oriented co...
Reinforcement Learning research is traditionally devoted to solve single-task problems. Therefore, anytime a new task is faced, learning must be restarted from scratch. Recently, ...
Efficiency with respect to energy consumption has increasingly been recognized as an important quality attribute for distributed software systems in embedded and pervasive environm...