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Proceedings Papers

Creation of a Ride Control Algorithm Using a Neural Network

Kyle L. Murphy, Eric J. Heilshorn
Paper presented at the SNAME Maritime Convention, September 27–29, 2023
Paper Number: SNAME-SMC-2023-019
https://doi.org/10.5957/SMC-2023-019
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Proceedings Papers

A Deep Neural Network to Predict the Residual Hull Girder Strength

Alessandro La Ferlita, Emanuel Di Nardo, Massimo Macera, Thomas Lindemann, Angelo Ciaramella, Nikolaos Koulianos
Paper presented at the SNAME Maritime Convention, September 27–29, 2022
Paper Number: SNAME-SMC-2022-074
https://doi.org/10.5957/SMC-2022-074
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Proceedings Papers

Sea Ice Characterization with Convolutional Neural Networks

Matthew King, Philippe Lamontagne, Louis Poirier, Rocky Taylor, Robert Briggs
Paper presented at the SNAME Maritime Convention, September 27–29, 2022
Paper Number: SNAME-SMC-2022-116
https://doi.org/10.5957/SMC-2022-116
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Proceedings Papers

A Method of Automated Work Observation for Ship Production Using Deep Neural Networks

Takeshi Shinoda, Takashi Tanaka, Hayato Okamoto, Daisuke Umemoto
Paper presented at the SNAME Maritime Convention, October 27–29, 2021
Paper Number: SNAME-SMC-2021-041
https://doi.org/10.5957/SMC-2021-041
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Proceedings Papers

Using AI at the Edge and Incremental Machine Learning to Process Onboard Instrument Data

Nicholas Parkyn
Paper presented at the SNAME Maritime Convention, October 27–29, 2021
Paper Number: SNAME-SMC-2021-048
https://doi.org/10.5957/SMC-2021-048
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Proceedings Papers

A Review on Applications of Machine Learning in Shipping Sustainability

Blanca Pena, Luofeng Huang, Fredrik Ahlgren
Paper presented at the SNAME Maritime Convention, September 29–October 2, 2020
Paper Number: SNAME-SMC-2020-035
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Proceedings Papers

Application of Machine Learning to Early-Stage Hull Form Design

Austin Kyle Shaeffer, Wesley Wilson, Chi Yang
Paper presented at the SNAME Maritime Convention, September 29–October 2, 2020
Paper Number: SNAME-SMC-2020-098
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Proceedings Papers

A Method for Extracting the Work Status in Shipyard Using Deep Neural Networks

Takashi Tanaka, Takeshi Shinoda
Paper presented at the SNAME Maritime Convention, October 24–27, 2018
Paper Number: SNAME-SMC-2018-060
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Proceedings Papers

Weld Process Modeling, Monitoring, Teaching, and Control using Artificial Neural Networks: Improving Navy and Commercial Shipbuilding for the Future

Jerald E. Jones, Valerie L. Rhoades, Mark D. Mann
Paper presented at the SNAME Maritime Convention, November 8, 2013
Paper Number: SNAME-SMC-2013-P46
https://doi.org/10.5957/SMC-2013-P46
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View Paper titled, Weld Process Modeling, Monitoring, Teaching, and Control using Artificial Neural Networks: Improving Navy and Commercial Shipbuilding for the Future
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Proceedings Papers

Portable Automated Plate Straightener

Garth E. Turner, Jerry E. Jones, Valerie L. Rhoades, Timothy E. Clem, Pierre L. Sarnow, Stephen K. Madden, Adam Cuneo, J. McMahon
Paper presented at the SNAME Maritime Convention, October 19–21, 2005
Paper Number: SNAME-SMC-2005-P30
https://doi.org/10.5957/SMC-2005-P30
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Proceedings Papers

Virtual Reality Welder Training

Nancy C. Porter, J. Allan Cote, Timothy D. Gifford, Wim Lam
Paper presented at the SNAME Maritime Convention, October 19–21, 2005
Paper Number: SNAME-SMC-2005-P19
https://doi.org/10.5957/SMC-2005-P19
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