activity
20232026
most citedPhysics-Informed Transfer Learning for Data-Driven Sound Source Reconstruction in Near-Field Acoustic Holography

1 citations · 2 across the 10 of their papers we have counts for

collaborators
Showing 2025Show all

2 papers · 1 filter

eess.AS2025★ 1 cited

Physics-Informed Transfer Learning for Data-Driven Sound Source Reconstruction in Near-Field Acoustic Holography

Xinmeng Luan, Mirco Pezzoli, Fabio Antonacci +1

We propose a transfer learning framework for sound source reconstruction in Near-field Acoustic Holography (NAH), which adapts a well-trained data-driven model from one type of sou…

eess.AS2025

Physics-Informed Neural Network-Driven Sparse Field Discretization Method for Near-Field Acoustic Holography

Xinmeng Luan, Mirco Pezzoli, Fabio Antonacci +1

We propose the Physics-Informed Neural Network-driven Sparse Field Discretization method (PINN-SFD), a novel self-supervised, physics-informed deep learning approach for addressing…