Efficient Prediction of Shallow-Water Acoustic Transmission Loss Using a Hybrid Variational Autoencoder–Flow Framework

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Bibliografiske detaljer
Udgivet i:	Journal of Marine Science and Engineering vol. 13, no. 7 (2025), p. 1325-1348
Hovedforfatter:	Bolin, Su
Andre forfattere:	Wang, Haozhong, Zhu Xingyu, Song Penghua, Li, Xiaolei
Udgivet:	MDPI AG
Fag:	Accuracy Shallow water Datasets Flow Transmission loss Mapping Computer applications Batch processing Telecommunications Deep learning Prediction models Propagation Computation Acoustics Sound transmission Neural networks Computational efficiency Sound velocity Variables Communications systems Controllability Physical properties Learning Underwater Computing time Waveguides Environmental
Online adgang:	Citation/Abstract Full Text + Graphics Full Text - PDF
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