The new concept and method of imposing imprecise (fuzzy) input and output data upon the conventional linear regression model is proposed in this paper. We introduce the fuzzy scala...
Superscalar microprocessor efficiency is generally not as high as anticipated. In fact, sustained utilization below thirty percent of peak is not uncommon, even for fully optimized...
We present an optimized full scale automatic camera calibration approach which is both accurate and simple to implement. The method can be applied to a wide range of cameras equip...
Vitaly Orekhov, Besma R. Abidi, Christopher Broadd...
Deterministic global optimization with interval analysis involves - using interval enclosures for ranges of the constraints, objective, and gradient to reject infeasible regions, r...
We introduce Bayesian Expansion (BE), an approximate numerical technique for passage time distribution analysis in queueing networks. BE uses a class of Bayesian networks to appro...