We are developing tools to support a conversational metaphor for requirements definition and analysis. Our conversational model consists of three components: (1) a hypertextual re...
STRACTION FOR DISCRETE EVENT SYSTEMS USING NEURAL NETWORKS AND SENSITIVITY INFORMATION Christos G. Panayiotou Christos G. Cassandras Department of Manufacturing Engineering Boston ...
Christos G. Panayiotou, Christos G. Cassandras, We...
In this work we present a predictive analytical model that encompasses the performance and scaling characteristics of a nondeterministic particle transport application, MCNP (Mont...
Abstract—In this paper, we explore the “clustering” phenomenon in BT-like systems. A high clustering implies peers have a high tendency to exchange information with peers of ...
Simple algorithms can be analytically characterized, but such analysis is questionable or even impossible for more complicated algorithms, such as Model Predictive Control (MPC). ...
Panagiotis D. Vouzis, Sylvain Collange, Mark G. Ar...