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

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Bibliográfalaš dieđut
Publikašuvnnas:	Journal of Marine Science and Engineering vol. 13, no. 7 (2025), p. 1325-1348
Váldodahkki:	Bolin, Su
Eará dahkkit:	Wang, Haozhong, Zhu Xingyu, Song Penghua, Li, Xiaolei
Almmustuhtton:	MDPI AG
Fáttát:	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
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