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

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Xehetasun bibliografikoak
Argitaratua izan da:	Journal of Marine Science and Engineering vol. 13, no. 7 (2025), p. 1325-1348
Egile nagusia:	Bolin, Su
Beste egile batzuk:	Wang, Haozhong, Zhu Xingyu, Song Penghua, Li, Xiaolei
Argitaratua:	MDPI AG
Gaiak:	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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