In this paper we propose a framework for the computational extraction of time characteristics of a single choreographic work. Computational frameworks can aid in revealing nonsali...
Vidyarani M. Dyaberi, Hari Sundaram, Thanassis Rik...
The use of Grid technologies allows us to make progress in the prediction accuracy of epidemiological patterns, epidemiological modeling, risk predictions of infectious diseases et...
While performance, area, and power constraints have been the driving force in designing current communication-enabled embedded systems, post-fabrication and run-time adaptability ...
Group communication protocols constitute a basic building block for highly dependable distributed applications. Designing and correctly implementing a group communication system (...
Claudio Basile, Long Wang, Zbigniew Kalbarczyk, Ra...
This paper looks at the problem of data prioritization, commonly found in mobile ad-hoc networks. The proposed general solution uses a machine learning approach in order to learn ...