Federated Meta Learning Enhanced Acoustic Radio Cooperative Framework for Ocean of Things Underwater Acoustic Communications

no code implementations • 24 May 2021 • Hao Zhao, Fei Ji, Quansheng Guan, Qiang Li, Shuai Wang, Hefeng Dong, Miaowen Wen

In summary, the proposed ARC/FML for OoT is a promising scheme for information exchange across water and air.

Federated Learning Meta-Learning +1

Bayesian geoacoustic inversion using mixture density network

no code implementations • 18 Aug 2020 • Guoli Wu, Hefeng Dong, Junqiang Song, Jingya Zhang

This paper extends the classic Bayesian geoacoustic inversion framework by deriving important geoacoustic statistics of Bayesian geoacoustic inversion from the multidimensional posterior probability density (PPD) using the mixture density network (MDN) theory.

Bayesian Inference