Stochastic modeling forms the basis for analysis in many areas, including biological and economic systems, as well as the performance and reliability modeling of computers and comm...
In this paper, we propose a new model order reduction approach for large interconnect circuits using hierarchical decomposition and Krylov subspace projection-based model order re...
In this paper, we shall address the issue of semantic extraction of different regions of interest. The proposed approach is based on statistical methods and models inspired from l...
Self-adaptation is emerging as an increasingly important capability for many applications, particularly those deployed in dynamically changing environments, such as ecosystem moni...
Heather Goldsby, Peter Sawyer, Nelly Bencomo, Bett...
Abstract— Most image processing applications are characterized by computation-intensive operations, and high memory and performance requirements. Parallelized implementation on s...