Kazuo Yonekura

According to our database, Kazuo Yonekura authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Short Note on Physics-Guided GAN to Learn Physical Models without Gradients.

Kazuo Yonekura

Algorithms, July, 2024

2023

Turbine blade optimization considering smoothness of the Mach number using deep reinforcement learning.

Kazuo Yonekura, Hitoshi Hattori, Shohei Shikada, Kohei Maruyama

Inf. Sci., 2023

Designing ship hull forms using generative adversarial networks.

Kazuo Yonekura, Kotaro Omori, Xinran Qi, Katsuyuki Suzuki

CoRR, 2023

Airfoil generation and feature extraction using the conditional VAE-WGAN-gp.

Kazuo Yonekura, Yuki Tomori, Katsuyuki Suzuki

CoRR, 2023

Combined sizing and layout optimization of truss structures via update Monte Carlo tree search (UMCTS) algorithm.

Fu-Yao Ko, Katsuyuki Suzuki, Kazuo Yonekura

CoRR, 2023

Update Monte Carlo tree search (UMCTS) algorithm for heuristic global search of sizing optimization problems for truss structures.

Fu-Yao Ko, Katsuyuki Suzuki, Kazuo Yonekura

CoRR, 2023

Physics-guided training of GAN to improve accuracy in airfoil design synthesis.

Kazunari Wada, Katsuyuki Suzuki, Kazuo Yonekura

CoRR, 2023

Physics-guided generative adversarial network to learn physical models.

Kazuo Yonekura

CoRR, 2023

2022

Generating various airfoils with required lift coefficients by combining NACA and Joukowski airfoils using conditional variational autoencoders.

Kazuo Yonekura, Kazunari Wada, Katsuyuki Suzuki

Eng. Appl. Artif. Intell., 2022

Super-resolving 2D stress tensor field conserving equilibrium constraints using physics informed U-Net.

Kazuo Yonekura, Kento Maruoka, Kyoku Tyou, Katsuyuki Suzuki

CoRR, 2022

2021

Inverse airfoil design method for generating varieties of smooth airfoils using conditional WGAN-gp.

Kazuo Yonekura, Nozomu Miyamoto, Katsuyuki Suzuki

CoRR, 2021

Generating various airfoil shapes with required lift coefficient using conditional variational autoencoders.

Kazuo Yonekura, Kazunari Wada, Katsuyuki Suzuki

CoRR, 2021

2019

A Heuristic Method Using Hessian Matrix for Fast Flow Topology Optimization.

Kazuo Yonekura, Yoshihiro Kanno

J. Optim. Theory Appl., 2019

2018

Short-term local weather forecast using dense weather station by deep neural network.

Kazuo Yonekura, Hitoshi Hattori, Taiji Suzuki

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018