Dynamically reconfigurable embedded systems offer potential for higher performance as well as adaptability to changing system requirements at low cost. Such systems employ run-tim...
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
The distributed object group framework (DOGF) enables easier integration of distributed objects to healthcare home applications. This paper describes a healthcare information manag...
Distributed applications require distributed techniques for efficient resource allocation. These techniques need to take into account the heterogeneity and potential unreliability...
We present a noisy-OR Bayesian network model for simulation-based training, and an efficient search-based algorithm for automatic synthesis of plausible training scenarios from co...
Eugene Grois, William H. Hsu, Mikhail Voloshin, Da...