The rapid progress of computers and today's heterogeneous computing environment means computation-intensive signal processing algorithms must be optimized for performance in ...
This paper describes the semantics of a timed, resource-constrained extension of the Creol modeling language. Creol is an object-oriented modeling language with a design that is s...
Rudolf Schlatte, Bernhard K. Aichernig, Andreas Gr...
Background: Intrinsic fluctuations due to the stochastic nature of biochemical reactions can have large effects on the response of biochemical networks. This is particularly true ...
David Adalsteinsson, David McMillen, Timothy C. El...
Time dependant models have been intensively studied for many reasons, among others because of their applications in software verification and due to the development of embedded pla...
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...