Analysis of large, complex systems requires simulations of hybrid-system dynamics, i.e., dynamics which are best described by a combination of continuous-time and discrete-event m...
Amy R. Pritchett, Seungman Lee, David Huang, David...
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
Middleware facilitates the development of distributed systems by accommodating heterogeneity, hiding distribution details and providing a set of common and domain specific service...
: Traffic distribution forecasting is an essential step in network planning for packet-switching networks. It is frequently necessary to forecast and develop an optimal network con...
MODSIM II is an object-oriented discrete event simulation language featuring extensive run-time libraries, graphical user interface and results presentation tools, database access...