Closed-loop turbulence control is a critical enabler of aerodynamic drag reduction, lift
increase, mixing enhancement, and noise reduction. Current and future applications have …

This work proposes an approach that combines a library of component‐based reduced‐
order models with Bayesian state estimation in order to create data‐driven physics‐based …

This work develops a methodology for creating and updating data-driven physics-based
digital twins, and demonstrates the approach through the development of a structural digital …

This article reviews state-of-the-art numerical techniques for fluid–structure interaction (FSI)
of full-scale wind-turbine systems. Simulation of floating wind turbines subjected to …

This work presents a collection of advanced computational methods, and their coupling, that
enable prediction of fatigue-damage evolution in full-scale composite blades of wind …

This work develops a methodology for creating a data-driven digital twin from a library of
physics-based models representing various asset states. The digital twin is updated using …

We present a method for intrinsic image decomposition, which aims to decompose images
into reflectance and shading layers. Our input is a sequence of images with varying …

This paper presents a hardware testbed that furthers the development of a dynamic data-
driven application system (DDDAS). In particular, the focus of this testbed is on enabling a …

The paradigm of dynamic data driven application system (DDDAS) has been proposed as a
framework to analyze and predict the character and behavior of complex systems that …

Naive Bayes classifiers perform well on many problems, including problems that violate its
simplistic assumptions. Several Naive Bayes classifiers are available in software packages …