Abstract. An accurate analysis of a large dynamic system like our oceans requires spatially fine and temporally matched data collection methods. Current methods to estimate fish st...
Sadahiro Iwamoto, Mohan M. Trivedi, David M. Check...
The dataset generated by a large-scale numerical simulation may include thousands of timesteps and hundreds of variables describing different aspects of the modeled physical pheno...
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Mazurkiewicz traces form a model for concurrency. Temporal logic st-order logic are important tools in order to deal with the abstract behavior of such systems. Since typical prop...
Due to the increasing abstraction gap between the initial system model and a final implementation, the verification of the respective models against each other is a formidable task...