Stochastic orders can be applied to Markov reward models and used to aggregate models, while introducing a bounded error. Aggregation reduces the number of states in a model, miti...
A major challenge in building recommender systems is organizing the recommendation space since, the underlying data organization scheme has a significant impact on the overall pe...
We introduce an algorithm for approximating a 2manifold 3D mesh by a set of developable surfaces. Each developable surface is a generalized cylinder represented as a strip of tria...
The simulation of large grids requires the generation of grid instances and an approximation of grid components’ behaviour. To generate grid instances, this paper outlines a set...
We describe a communication-centric design methodology with SystemC that allows for efficient FPGA prototype generation of transaction level models (TLM). Using a framework compr...