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Gustavo A. Bisinotto
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Journal Articles

Motion-Based Wave Inference With Neural Networks: Transfer Learning From Numerical Simulation to Experimental Data

Gustavo A. Bisinotto, Pedro C. de Mello, Fabio G. Cozman, Eduardo A. Tannuri
Journal: Journal of Offshore Mechanics and Arctic Engineering
Publisher: ASME
Article Type: Research Papers
J. Offshore Mech. Arct. Eng. October 2024, 146(5): 051204.
Paper No: OMAE-23-1115
https://doi.org/10.1115/1.4064618
Published Online: February 13, 2024
View Article titled, Motion-Based Wave Inference With Neural Networks: Transfer Learning From Numerical Simulation to Experimental Data
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Topics: Waves, Vessels, Artificial neural networks, Spectra (Spectroscopy), Platform supply vessels
Proceedings Papers

Combining Model-Based and Data-Driven Methods to Estimate the Roll Motion of a Spread-Moored FPSO

Lucas P. Cotrim, Alex S. Huang, Gustavo A. Bisinotto, Rodrigo Da S. Cunha, Rodrigo A. Barreira, Anna H. R. Costa, Edson S. Gomi, Eduardo A. Tannuri
Proc. ASME. OMAE2023, Volume 1: Offshore Technology, V001T01A014, June 11–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2023-102044
https://doi.org/10.1115/OMAE2023-102044
View Paper titled, Combining Model-Based and Data-Driven Methods to Estimate the Roll Motion of a Spread-Moored FPSO
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Topics: Artificial neural networks, FPSO, Mooring, Physics
Proceedings Papers

Assessment of Sea State Estimation With Convolutional Neural Networks Based on the Motion of a Moored FPSO Subjected to High-Frequency Wave Excitation

Gustavo A. Bisinotto, Lucas P. Cotrim, Fabio G. Cozman, Eduardo A. Tannuri
Proc. ASME. OMAE2022, Volume 5B: Ocean Engineering; Honoring Symposium for Professor Günther F. Clauss on Hydrodynamics and Ocean Engineering, V05BT06A001, June 5–10, 2022
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2022-78603
https://doi.org/10.1115/OMAE2022-78603
View Paper titled, Assessment of Sea State Estimation With Convolutional Neural Networks Based on the Motion of a Moored FPSO Subjected to High-Frequency Wave Excitation
Open the PDF for Assessment of Sea State Estimation With Convolutional Neural Networks Based on the Motion of a Moored FPSO Subjected to High-Frequency Wave Excitation in another window
Topics: Artificial neural networks, Excitation, FPSO, Mooring, Seas, State estimation, Waves