A physics-informed fine-tuning step adapts a pre-trained deep network to reconstruct sound sources on a new, limited-data target using a single pressure measurement.
Complex- valued physics-informed neural network for near-field acoustic hologra- phy,
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Physics-Informed Transfer Learning for Data-Driven Sound Source Reconstruction in Near-Field Acoustic Holography
A physics-informed fine-tuning step adapts a pre-trained deep network to reconstruct sound sources on a new, limited-data target using a single pressure measurement.