35 citations · 47 across the 3 of their papers we have counts for
3 papers
Data-driven nonlinear turbulent flow scaling with Buckingham Pi variables
Kai Fukami, Susumu Goto, Kunihiko Taira
Nonlinear machine learning for turbulent flows can exhibit robust performance even outside the range of training data. This is achieved when machine-learning models can accommodate…
Phase autoencoder for limit-cycle oscillators
Koichiro Yawata, Kai Fukami, Kunihiko Taira +1
We present a phase autoencoder that encodes the asymptotic phase of a limit-cycle oscillator, a fundamental quantity characterizing its synchronization dynamics. This autoencoder i…
Image and video compression of fluid flow data
Vishal Anatharaman, Jason Feldkamp, Kai Fukami +1
We study the compression of spatial and temporal features in fluid flow data using multimedia compression techniques. The efficacy of spatial compression techniques, including JPEG…