Transfer learning for modeling and prediction of marine buoy motion characteristics-Reference-Cited by-同舟云学术

Transfer learning for modeling and prediction of marine buoy motion characteristics

Published:2022-12 Issue: Volume:266 Page:113158
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Deng Hongying^ORCID,Li Xintian^ORCID,Zhu Jialiang,Liu Yi

Publisher

Elsevier BV

Subject

Ocean Engineering,Environmental Engineering

Reference40 articles.

1. Numerical studies on CALM buoy motion responses and the effect of buoy geometry cum skirt dimensions with its hydrodynamic waves-current interactions;Amaechi;Ocean Eng.,2022

2. Machine learning for characterizing tropical tuna aggregations under drifting fish aggregating devices (DFADs) from commercial echosounder buoys data;Bai;Fish. Res.,2020

3. Influence of the shape of a buoy on the efficiency of its dual-motion wave energy conversion;Berenjkoob;Energy,2021

4. Impact of heavy biofouling on a nearshore heave-pitch-roll wave buoy performance;Campos;Appl. Ocean Res.,2021

5. Actively exploring informative data for smart modeling of industrial multiphase flow processes;Deng;IEEE Trans. Ind. Inf.,2021

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3. Motion estimation and system identification of a moored buoy via physics-informed neural network;Applied Ocean Research;2023-09