Abstract. In this paper a novel framework for brain classification is proposed in the context of mental health research. A learning by example method is introduced by combining loc...
Umberto Castellani, E. Rossato, Vittorio Murino, M...
— We investigate methodologies for placement and migration of logical data stores in virtualized storage systems leading to optimum system configuration in a dynamic workload sc...
The coupling of local discontinuous Galerkin (LDG) and boundary element methods (BEM), which has been developed recently to solve linear and nonlinear exterior transmission proble...
Gabriel N. Gatica, Norbert Heuer, Francisco-Javier...
Abstract. Workload characterization is important for understanding how systems and services are used in practice and to help identify design improvements. To better understand the ...
—In this paper, we study a new class of attacks, the invisible LOCalization (iLOC) attack, which can accurately and invisibly localize monitors of Internet threat monitoring (ITM...