2 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CE2023★ 2 cited
Designing ship hull forms using generative adversarial networks
Kazuo Yonekura, Kotaro Omori, Xinran Qi +1
We proposed a GAN-based method to generate a ship hull form. Unlike mathematical hull forms that require geometrical parameters to generate ship hull forms, the proposed method req…
cs.CE2023★ 1 cited
Airfoil generation and feature extraction using the conditional VAE-WGAN-gp
Kazuo Yonekura, Yuki Tomori, Katsuyuki Suzuki
A machine learning method was applied to solve an inverse airfoil design problem. A conditional VAE-WGAN-gp model, which couples the conditional variational autoencoder (VAE) and W…
cs.LG2023★ 2 cited
Physics-guided training of GAN to improve accuracy in airfoil design synthesis
Kazunari Wada, Katsuyuki Suzuki, Kazuo Yonekura
Generative adversarial networks (GAN) have recently been used for a design synthesis of mechanical shapes. A GAN sometimes outputs physically unreasonable shapes. For example, when…