A Bayesian network is an appropriate tool to deal with the uncertainty that is typical of real-life applications. Bayesian network arcs represent statistical dependence between dif...
A computer-based algorithm is being developed which, using preoperative images, provides the surgeon with a list of feasible port triplets ranked according to tool dexterity and en...
Shaun Selha, Pierre E. Dupont, Robert D. Howe, Dav...
This paper discusses practical issues involved in applying logic built-in self-test (BIST) to four large industrial designs. These multi-clock designs, ranging in size from 200K t...
Graham Hetherington, Tony Fryars, Nagesh Tamarapal...
Abstract. Stochastic optimization is a leading approach to model optimization problems in which there is uncertainty in the input data, whether from measurement noise or an inabili...
Class Based Weighted Fair Queueing (CBWFQ) is a very important router discipline that allows different types of Internet Protocol (IP) traffic like voice, video, and best effort d...
Martin J. Fischer, Denise M. Bevilacqua Masi, John...