Today's computer supported modelling environments could provide much more information about the users’ actions and problem solving processes than they usually store for late...
We explore an approach to 3D people tracking with learned motion models and deterministic optimization. The tracking problem is formulated as the minimization of a differentiable ...
The queueing Petri net (QPN) paradigm provides a number of benefits over conventional modeling paradigms such as queueing networks and generalized stochastic Petri nets. Using qu...
Current software development often relies on non trivial coordination logic for combining autonomous services, eventually running on different platforms. As a rule, however, such ...
In this paper, we present a stochastic model for the dynamic fleet management problem with random travel times. Our approach decomposes the problem into time-staged subproblems by...