Search Results for author:
Found 2 papers, 0 papers with code
Bayesian Inference of Stochastic Dynamical Networks
Given that usually only a partial set of nodes are able to observe, in this paper, we consider linear CT systems to depict networks since they can model unmeasured nodes via transfer functions.
Intelligent Icing Detection Model of Wind Turbine Blades Based on SCADA data
Besides, if there is no sufficient labeled data for a target turbine, which is an extremely common phenomenon in real industrial practices, the addition of domain adaption learning makes the trained model show better performance.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
