Physics-informed neural networks for parameter learning of wildfire spreading

Documenti analoghi

• A geometry-aligned multi-fidelity framework for uncertainty quantification of wildfire spread
  di: Vogiatzoglou, Konstantinos, et al.
  Pubblicazione: (2026)
• An interpretable wildfire spreading model for real-time predictions
  di: Vogiatzoglou, Konstantinos, et al.
  Pubblicazione: (2023)
• A parametric framework for kernel-based dynamic mode decomposition using deep learning
  di: Kevopoulos, Konstantinos, et al.
  Pubblicazione: (2024)
• Data-driven building energy efficiency prediction using physics-informed neural networks
  di: Michalakopoulos, Vasilis, et al.
  Pubblicazione: (2023)
• Transfer learning-based physics-informed convolutional neural network for simulating flow in porous media with time-varying controls
  di: Chen, Jungang, et al.
  Pubblicazione: (2023)