In this paper we present a new method of interval fuzzy model identification. The method combines a fuzzy identification methodology with some ideas from linear programming theory...
Machine learning techniques are applicable to computer system optimization. We show that shared memory multiprocessors can successfully utilize machine learning algorithms for mem...
M. F. Sakr, Steven P. Levitan, Donald M. Chiarulli...
Abstract. Compressive sensing (CS) is a new approach for the acquisition and recovery of sparse signals and images that enables sampling rates significantly below the classical Ny...
RLC circuits have been shown to be better formulated as second-order systems instead of first-order systems. The corresponding model order reduction techniques for secondorder sys...
Boyuan Yan, Sheldon X.-D. Tan, Pu Liu, Bruce McGau...
We develop the foundations for a theory of Group-Centric Secure Information Sharing (g-SIS), characterize a specific family of models in this arena and identify several direction...
Ram Krishnan, Ravi S. Sandhu, Jianwei Niu, William...