Koji Fukagata

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Voronoi Tessellation

Estimation Of Optical Flow

Top Venues

SN Comput. Sci.

J. Comput. Phys.

Nat. Mach. Intell.

Publications

Mitsuaki Matsuo, Kai Fukami, Taichi Nakamura, Masaki Morimoto, Koji Fukagata
Reconstructing Three-Dimensional Bluff Body Wake from Sectional Flow Fields with Convolutional Neural Networks. SN Comput. Sci. 5 (3) (2024)
Kai Fukami, Koji Fukagata, Kunihiko Taira
Super-Resolution Analysis via Machine Learning: A Survey for Fluid Flows. CoRR (2023)
Koji Fukagata
Towards quantum computing of turbulence. Nat. Comput. Sci. 2 (2) (2022)
Yuki Morita, Saleh Rezaeiravesh, N. Tabatabaei, Ricardo Vinuesa, Koji Fukagata, Philipp Schlatter
Applying Bayesian optimization with Gaussian process regression to computational fluid dynamics problems. J. Comput. Phys. 449 (2022)
Masaki Morimoto, Kai Fukami, Kai Zhang, Koji Fukagata
Generalization techniques of neural networks for fluid flow estimation. Neural Comput. Appl. 34 (5) (2022)
Kai Fukami, Romit Maulik, Nesar Ramachandra, Koji Fukagata, Kunihiko Taira
Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning. Nat. Mach. Intell. 3 (11) (2021)
Kai Fukami, Kazuto Hasegawa, Taichi Nakamura, Masaki Morimoto, Koji Fukagata
Model Order Reduction with Neural Networks: Application to Laminar and Turbulent Flows. SN Comput. Sci. 2 (6) (2021)
Masaki Morimoto, Kai Fukami, Romit Maulik, Ricardo Vinuesa, Koji Fukagata
Assessments of model-form uncertainty using Gaussian stochastic weight averaging for fluid-flow regression. CoRR (2021)
Kai Fukami, Romit Maulik, Nesar Ramachandra, Koji Fukagata, Kunihiko Taira
Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning. CoRR (2021)