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Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions.

, , , , , , , , , , , , , , , , , , , , , , , и . IEEE Access, (2023)

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San San Lin

San San Hmwe

Emin Sinan Ömeroglu

Lutful Mannan Osama Omer

Abrehet Mohammed Omer

 

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Optimal Control of Heat Transfer in Unsteady Stokes Flows., и . CDC, стр. 3752-3757. IEEE, (2018)Forward sensitivity analysis and mode dependent control for closure modeling of Galerkin systems., и . Comput. Math. Appl., (сентября 2023)Data-driven recovery of hidden physics in reduced order modeling of fluid flows, , , и . Physics of Fluids, 32 (3): 036602-- (марта 2020)Prospects of federated machine learning in fluid dynamics., , и . CoRR, (2022)Digital Twin for Wind Energy: Latest updates from the NorthWind project., , , , , , , , , и 5 other автор(ы). CoRR, (2024)Enhancing elasticity models with deep learning: A novel corrective source term approach for accurate predictions., , , , и . Appl. Soft Comput., (2024)Data-Driven Variational Multiscale Reduced Order Models., , , и . CoRR, (2020)Marine life through You Only Look Once's perspective., , , и . CoRR, (2020)Proportional integral derivative controller assisted reinforcement learning for path following by autonomous underwater vehicles., , , и . CoRR, (2020)Reduced order modeling of fluid flows: Machine learning, Kolmogorov barrier, closure modeling, and partitioning, , , и . arXiv.org > Mathematics > Dynamical Systems, (2020)