Analysis of Generative Adversarial Networks for Data-Driven Inverse Airfoil Design

P Gupta, P Tyagi, RK Singh - Proceedings of International Conference on …, 2022 - Springer
Data-driven methods have led to new approaches in the field of aerodynamic design and
have recently found success in inverse design applications. The conventional inverse …

A Quantitative Analysis of Machine Learning Based Regressors for Pressure Reconstruction in Particle Image Velocimetry Applications

M Basu, S Kumar, P Gupta… - Fluids …, 2020 - asmedigitalcollection.asme.org
With the recent advances in Artificial Intelligence, avenues for the application of Machine
Learning (ML) are increasing in many engineering problems pertaining to Fluid Mechanics …