Hot spots are a major obstacle to achieving scalability in the Internet. At the application layer, hot spots are usually caused by either (a) high demand for some data or (b) high...
Samrat Bhattacharjee, William C. Cheng, Cheng-Fu C...
In this paper, we present the features of Romeo, a Time Petri Net (TPN) analyzer. The tool Romeo allows state space computation of TPN and on-the-fly model-checking of reachabilit...
Guillaume Gardey, Didier Lime, Morgan Magnin, Oliv...
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
Time series motif discovery is an important problem with applications in a variety of areas that range from telecommunications to medicine. Several algorithms have been proposed t...
— In this paper, we study the tracking problem for Lur’e-type measure differential inclusions. The framework of measure differential inclusions allows us to describe systems wi...