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POD-Galerkin reduced order models and physics-informed neural networks for solving inverse problems for the Navier-Stokes equations.

Saddam HijaziMelina FreitagNiels Landwehr
Published in: Adv. Model. Simul. Eng. Sci. (2023)
Keyphrases
  • neural network
  • inverse problems
  • reduced order
  • image reconstruction
  • computer vision
  • model selection
  • object tracking