Assessment of trimodal wave spectral parameters using machine learning methods and vessel response statistics to enhance safety of marine operations-Reference-Cited by-同舟云学术

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Assessment of trimodal wave spectral parameters using machine learning methods and vessel response statistics to enhance safety of marine operations

Published:2024-11 Issue: Volume:311 Page:118921
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Procel Jonathan^ORCID,Guachamin-Acero Wilson^ORCID,Portilla-Yandún Jesús^ORCID,Toapanta-Ramos Fernando^ORCID

Funder

Escuela Politécnica Nacional

Publisher

Elsevier BV

Reference29 articles.

1. Output harmonic disturbance compensation for nonlinear plant;Aranovskiy,2012

2. Comparison of wind and wave measurements and models in the Western Mediterranean Sea;Ardhuin;Ocean Eng.,2007

3. A novel densely connected convolutional neural network for sea-state estimation using ship motion data;Cheng;IEEE Trans. Instrum. Meas.,2020

4. SpectralSeaNet: Spectrogram and convolutional network-based sea state estimation;Cheng,2020

5. DNVGL-ST-N001: Marine Operations and Marine Warranty;DNV-GL,2016

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