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Camilo Fernando Silva

affiliation not provided to SSRN

  • affiliation not provided to SSRN

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Comparison of Physics-Informed Neural Networks and the Extended Kalman Filter for Reconstructing Acoustic Fields in One-Dimensional Systems

Number of pages: 76 Posted: 02 Dec 2025
Junting Yao, Dionysios Panagiotopoulos, Elke Deckers and Camilo Fernando Silva
KU Leuven, KU Leuven, KU Leuven and affiliation not provided to SSRN
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Abstract:

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Data-driven method, Machine learning, Kalman Filter, Bayes method, Physics-informed neural network