This paper presents a framework for data modeling ntic abstraction of image/video data. The framework is based on spatio-temporalinformation associated with salient objects in an ...
Young Francis Day, Serhan Dagtas, Mitsutoshi Iino,...
Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
Modelica is a general equation-based object-oriented language for continuous and discrete-event modeling of physical systems for the purpose of efficient simulation. The language ...
In recent publications, two prominent approaches can be found which deal with the complexity of large software systems. First, there is the object–oriented approach, where ”ob...
The chief aim of this survey is to discuss exception handling models which have been developed for concurrent object systems. In conducting this discussion we rely on the following...