In this work we present a new approach to two - dimensional robust spline smoothing. The proposed method is based on M-estimator algorithms but unlike in other M-estimator based i...
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
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...
Using models in different contexts poses major integration challenges, ranging from technical to conceptual levels. Independently of each other developed model components cannot b...
—In this paper we propose an approach for the problem of single channel source separation of speech and music signals. Our approach is based on representing each source’s power...