top of page

Artificial Learning Methods

PIGLET: Physics Informed Gaussian Process Regression for the Learning and Estimation of Turbulence

PIGLET: Physics Informed Gaussian Process Regression for the Learning and Estimation of Turbulence

J.M. Lawson

Dept. of Aeronautics and Astronautics, University of Southampton, UK *Corresponding author: j.m.lawson@soton.ac.uk

Physically Consistent Free-Hand Calibration for Polynomial Camera Models

Physically Consistent Free-Hand Calibration for Polynomial Camera Models

P. Sperotto, B. Watz, D. Hess

Dantec Dynamics A/S, Denmark

Autonomous Optical Velocimetry Via Reinforcement Learning: A Proof-Of-Concept Agentic Autofocus

Autonomous Optical Velocimetry Via Reinforcement Learning: A Proof-Of-Concept Agentic Autofocus

Kamila Zdybal, Claudio Mucignat, Ivan Lunati

EMPA, Dubendorf, Switzerland

A lean probabilistic CNN for PIV enabling joint flow and reconstruction uncertainty estimation

A lean probabilistic CNN for PIV enabling joint flow and reconstruction uncertainty estimation

C. Mucignat, K. Zydbal, H. Gorji, I. Lunati

Laboratory for Computational Engineering, Swiss Federal Laboratories for Materials Science and Technology, Switzerland

Deep Learning Enhanced Particle Tri-View Image Extraction And 3D Reconstruction For Trichromatic Mask PIV

Deep Learning Enhanced Particle Tri-View Image Extraction And 3D Reconstruction For Trichromatic Mask PIV

Xiaoyi Liang, Junfei Ding

Taiyuan University of Technology, Jinzhong, China

bottom of page