In the age of globalization, commercial aviation plays a central role in maintaining our
international connectivity by providing fast air transport services for passengers and freight …

In recent years, several algorithms have been proposed that leverage deep learning
techniques within the analysis workflow of particle-image velocimetry (PIV) measurements …

In the age of globalization, commercial aviation plays a central role in maintaining our
international connectivity by providing fast air transport services for passengers and freight …

A machine learning-based approach, RAFT-PIV, is used to measure with single-pixel
resolution the flow field around a microplastic fiber in a turbulent channel flow at a Shear …

Abstract Particle-Image Velocimetry (PIV) is a key approach in experimental fluid dynamics
and of fundamental importance in diverse applications, including automotive, aerospace …

Modern science in the era of big data and machine learning aims at the extraction of
meaningful information from large datasets that typically depict complex dynamical …

Experimental studies of turbulent wall-bounded flows are often desired to capture the
complete spectrum of turbulent scales across the entire wall-normal direction. Achieving this …