Bayesian approach for acoustic boundary admittance estimation
7th Conference on Noise and Vibration: Emerging Methods (NOVEM 2023)
Institute of Noise Control Engineering (INCE)
2023
Multi-fidelity modeling using Gaussian processes for the frequency dependent Helmholtz equation
7th Conference on Noise and Vibration: Emerging Methods (NOVEM 2023)
Institute of Noise Control Engineering (INCE)
2023
A neural network-augmented two-microphone impedance tube method to estimate sound propagation characteristics
7th Conference on Noise and Vibration: Emerging Methods (NOVEM 2023)
Institute of Noise Control Engineering (INCE)
2023
Linear vs nonlinear structural vibration behavior of steel-timber composite building elements
7th Conference on Noise and Vibration Emerging Methods (NOVEM 2023), Jan 10-12, Auckland, New Zealand
2023
A fast multipole boundary element method for acoustics in viscothermal fluids
326--329
7th Conference on NOise and Vibration Emerging Methods (NOVEM 2023), Jan 10-12, Auckland, New Zealand
INTER-NOISE and NOISE-CON Congress and Conference Proceedings
Institute of Noise Control Engineering (INCE)
2023
Vibration response of a hybrid steel–timber building element with uncertain material and joint parameters
Archives of Civil and Mechanical Engineering
2023
24
1
Physics-informed neural networks for characterization of structural dynamic boundary conditions
The Journal of the Acoustical Society of America
2023
154
4_supplement
A99-A99
Physics-informed neural networks for solving the Helmholtz equation
INTER-NOISE and NOISE-CON Congress and Conference Proceedings
2023
267
1
265--268
Parameter Identification of a Large-scale Vibroacoustic Finite Element Model with a One-dimensional Convolutional Neural Network
Journal of Theoretical and Computational Acoustics
2023
Bayesian Approach for the In Situ Estimation of the Acoustic Boundary Admittance
Journal of Theoretical and Computational Acoustics
2023