32 citations · 32 across the 1 of their papers we have counts for
6 papers
Mechanisms of a Convolutional Neural Network for Learning Three-dimensional Unsteady Wake Flow
Sangseung Lee, Donghyun You
Convolutional neural networks (CNNs) have recently been applied to predict or model fluid dynamics. However, mechanisms of CNNs for learning fluid dynamics are still not well under…
Prediction of typhoon tracks using a generative adversarial network with observational and meteorological data
Mario Rüttgers, Sangseung Lee, Donghyun You
Tracks of typhoons are predicted using a generative adversarial network (GAN) with observational data in form of satellite images and meteorological data from a reanalysis database…
Deep learning approach in multi-scale prediction of turbulent mixing-layer
Jinu Lee, Sangseung Lee, Donghyun You
Achievement of solutions in Navier-Stokes equation is one of challenging quests, especially for its closure problem. For achievement of particular solutions, there are variety of n…
Typhoon track prediction using satellite images in a Generative Adversarial Network
Mario Rüttgers, Sangseung Lee, Donghyun You
Tracks of typhoons are predicted using satellite images as input for a Generative Adversarial Network (GAN). The satellite images have time gaps of 6 hours and are marked with a re…
Data-driven prediction of unsteady flow fields over a circular cylinder using deep learning
Sangseung Lee, Donghyun You
Unsteady flow fields over a circular cylinder are trained and predicted using four different deep learning networks: convolutional neural networks with and without consideration of…
Prediction of laminar vortex shedding over a cylinder using deep learning
Sangseung Lee, Donghyun You
Unsteady laminar vortex shedding over a circular cylinder is predicted using a deep learning technique, a generative adversarial network (GAN), with a particular emphasis on elucid…