We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Quantum chemistry applications such as the General Atomic and Molecular Electronic Structure System (GAMESS) that can execute on a complex peta-scale parallel computing environment...
The Mobile Agent (MA) paradigm seems able to support effectively distributed applications in open and heterogeneous environments, and application areas such as ecommerce appear to...
Paolo Bellavista, Antonio Corradi, Rebecca Montana...
Abstract—In two recent contributions [1], [2], we have provided a comparative analysis of various optimization algorithms, which can be used for atomic location estimation, and s...
Stefano Tennina, Marco Di Renzo, Fabio Graziosi, F...
Emerging applications in the area of Emergency Response and Disaster Management are increasingly demanding interactive capabilities to allow for the quick understanding of a critic...
Miguel Lozano, Pedro Morillo, Daniel Lewis, Dirk R...