We propose a new methodology for fusing temporally changing multisensor raster and vector data by developing a spatially and temporally varying uncertainty model of acquired and t...
Stochastic grammar has been used in many video analysis and event recognition applications as an efficient model to represent large-scale video activity. However, in previous works...
A novel approach to integrating case-based reasoning with model-based diagnosis is presented. The main idea is to use the model of the device and the results of diagnostic tests t...
We present a simple yet effective method for modeling of object decomposition under combustion. A separate simulation models the flame production and generates heat from a combust...
This paper presents the development of a flexible simulation model of the rail operations at the Tropicana facility in Bradenton, Florida. The complexity of the process and system...