Neural networks for improving wind power efficiency: A review H Shin, M Rüttgers, S Lee Fluids 7 (12), 367, 2022 | 8 | 2022 |
Effects of spatiotemporal correlations in wind data on neural network-based wind predictions H Shin, M Rüttgers, S Lee Energy 279, 128068, 2023 | 7 | 2023 |
Drag prediction of rough-wall turbulent flow using data-driven regression Z Shi, SMH Khorasani, H Shin, J Yang, S Lee, S Bagheri arXiv preprint arXiv:2405.09256, 2024 | | 2024 |
Data-driven discovery of drag-inducing elements on a rough surface through convolutional neural networks H Shin, SMH Khorasani, Z Shi, J Yang, S Lee, S Bagheri arXiv preprint arXiv:2405.09071, 2024 | | 2024 |
Strategies and applications for predicting flow using neural networks: a review J Kang, H Shin, S Lee JMST Advances, 1-6, 2024 | | 2024 |