Deterministic optimization approaches have been well developed and widely used in the process industry to accomplish off-line and on-line process optimization. The challenging tas...
In this paper, we present an action language which is called AP oss in order to perform reasoning about actions under uncertainty. This language is based on a possibilistc logic pr...
Juan Carlos Nieves, Mauricio Osorio, Ulises Cort&e...
Abstract— This paper presents a post-route gate-sizing algorithm for coupling-noise reduction that constrains the yield loss under process variations. Algorithms for coupling-noi...
This paper deals with the development of a computer model to estimate the subjective workload score of individuals by evaluating their heart-rate (HR) signals. The identification o...
Mohit Kumar, D. Arndt, Steffi Kreuzfeld, Kerstin T...
Ellipsoidal outer-bounding of the set of all feasible state vectors under model uncertainty is a natural extension of state estimation for deterministic models with unknown-but-bo...