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...
We formulate and evaluate distribution-free statistical process control (SPC) charts for monitoring an autocorrelated process when a training data set is used to estimate the marg...
Joongsup Lee, Christos Alexopoulos, David Goldsman...
This paper presents an open, concurrent model of adaptive hypermedia all its functionality and data are completely distributed on a web of autonomous actors. The model that enable...
We present a framework where auxiliary MT systems are used to provide lexical predictions to a main SMT system. In this work, predictions are obtained by means of pivoting via aux...
Virtual avatars in many applications are constructed manually or by a single speech-driven model which needs a lot of training data and long training time. It’s an essential pro...