Abstract. In this paper, we define Time Petri Nets with Inhibitor Hyperarcs (IHTPN) as an extension of T-time Petri nets where time is associated with transitions. In this model, ...
In this paper, we explore a parallelization of BMC based on state space partitioning. The parallelization is accomplished by executing multiple instances of BMC independently from ...
Subramanian K. Iyer, Jawahar Jain, Mukul R. Prasad...
Modeling the dependencies between provided and required services within a software component is necessary for several reasons, such as automated component adaptation and architectu...
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
To travel successfully in a dynamic space-time setting, wayfinders must project the impact of a changing environment onto future travel choices. When making decisions, however, peo...
Michael D. Hendricks, Max J. Egenhofer, Kathleen H...