We present further developments in our work on using data from real users to build a probabilistic model of user affect based on Dynamic Bayesian Networks (DBNs) and designed to de...
In this multi-university collaborative research, we will develop a framework for the dynamic data-driven fault diagnosis of wind turbines which aims at making the wind energy a com...
Yu Ding, Eunshin Byon, Chiwoo Park, Jiong Tang, Yi...
Abstract. We describe a dynamic data-driven methodology that is capable of simultaneously determining both the parameters of a constitutive model associated with the response of a ...
In this paper we focus on the analysis of sound producing gestures in the musical domain. We investigate the behavior of intraoral pressure exerted by a trumpet performer in the pr...
Tommaso Bianco, Vincent Freour, Nicolas H. Rasamim...
In crisis, decisions must be made in human perceptual timeframes under pressure to respond to dynamic uncertain conditions. To be effective management must have access to real time...
Mark Gaynor, Margo I. Seltzer, Steve Moulton, Jim ...