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Keywords: machine learning
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Proceedings Papers

Paper presented at the SNAME Maritime Convention, September 27–29, 2023
Paper Number: SNAME-SMC-2023-019
... of system delays, phase lag can be mitigated. marine transportation artificial intelligence simulation actuation deep learning controller ride control algorithm reduction san diego united states government machine learning prediction effectiveness foil angle displacement neural network...
Proceedings Papers

Paper presented at the SNAME Maritime Convention, September 27–29, 2023
Paper Number: SNAME-SMC-2023-035
... to determine the optimum single and double slope under normal and extreme operating conditions. europe government bearing machine learning marine bearing lambda optimization problem algorithm activation ml smc 2023 artificial intelligence rossopoulo dataset shaft optimal double slope...
Proceedings Papers

Paper presented at the SNAME Maritime Convention, September 27–29, 2022
Paper Number: SNAME-SMC-2022-058
... , is the influence factor extracted from the product structure, and is the calculatory correlation coefficient of influence factor for production activity type . The activity-specific formulas can be derived with historical production data from methods such as regression analysis and machine-learning techniques...
Proceedings Papers

Paper presented at the SNAME Maritime Convention, September 27–29, 2022
Paper Number: SNAME-SMC-2022-012
... for the case of a passenger ship operating under ice free conditions in the Gulf of Finland demonstrates the potential of the method for the development of improved decision support systems and operational practices. artificial intelligence ship marine transportation machine learning grounding...
Proceedings Papers

Paper presented at the SNAME Maritime Convention, September 27–29, 2022
Paper Number: SNAME-SMC-2022-081
... condition smc2022 artificial intelligence bucchini optimization problem machine learning matteo bucchini houston openfast yang characteristic thickness workflow platform design load case subsea system wind turbine monopile algorithm criteria SNAME Maritime Convention 2022 26 29 September...
Proceedings Papers

Paper presented at the SNAME Maritime Convention, September 27–29, 2022
Paper Number: SNAME-SMC-2022-074
... neural network deep neural network method marine transportation artificial intelligence girder strength alessandro la ferlita deep learning machine learning residual hull smc 2022 ship predict hull girder strength houston SNAME Maritime Convention 2022 26-29 September, Houston, TX Copyright...
Proceedings Papers

Paper presented at the SNAME Maritime Convention, September 27–29, 2022
Paper Number: SNAME-SMC-2022-120
... & mining benchmarking medium sized shipyard smc 2022 shipyard machine learning objective strategic planning and management evaluation artificial intelligence steel mining productivity kpis helvacioglu producibility knowledge background information houston bilen specification estimation...
Proceedings Papers

Paper presented at the SNAME Maritime Convention, September 27–29, 2022
Paper Number: SNAME-SMC-2022-116
... Visual data is abundantly available and provides rich information about real-world objects. Computer vision is a substantial and growing field, which seeks to distill useful information from photographic imagery. The primary focus of this work centers on the application of machine learning based...
Proceedings Papers

Paper presented at the SNAME Maritime Convention, September 27–29, 2022
Paper Number: SNAME-SMC-2022-065
... is on building and testing machine learning models that can accurately predict the shaft power of a vessel under different conditions. The models examined include pure empirical models, pure neural network models, and combinations of the two. Using data on two car carrying vessels for 8 years it was found...
Proceedings Papers

Paper presented at the SNAME Maritime Convention, October 27–29, 2021
Paper Number: SNAME-SMC-2021-041
... tasks and the accuracy of this observation. artificial intelligence automated work observation identification machine learning sub-assembly stage image data neural network deep neural network takeshi shinoda manual corner welding work item recognition ratio welding work work...
Proceedings Papers

Paper presented at the SNAME Maritime Convention, October 27–29, 2021
Paper Number: SNAME-SMC-2021-082
..., and develop safer, efficient offshore operation plans. machine learning data mining artificial intelligence renewable energy us government information tirtharaj bhaumik dataset regression model upstream oil & gas prediction offshore operation weather window evaluation smc2021 weather...
Proceedings Papers

Paper presented at the SNAME Maritime Convention, October 27–29, 2021
Paper Number: SNAME-SMC-2021-096
.... climate change optimization problem evolutionary algorithm air emission generator artificial intelligence load case marine electrical engineering smc2021 load center fuel consumption engine design tool objective configuration machine learning marine transportation alexander koziol iv...
Proceedings Papers

Paper presented at the SNAME Maritime Convention, October 27–29, 2021
Paper Number: SNAME-SMC-2021-109
... and effect diagrams were prepared for these error groups from the field experts. Thus, the methodology should be customized for the shipyard to ensure maximum efficiency. marine transportation criteria international journal artificial intelligence smc2021 error priority number machine learning...
Proceedings Papers

Paper presented at the SNAME Maritime Convention, September 29–October 2, 2020
Paper Number: SNAME-SMC-2020-068
... real time system ocean energy subsea system machine learning upstream oil & gas accuracy renewable energy remotely operated vehicle artificial intelligence vessel motion prediction minute ocean wave splash zone spectrum virtual event wave spectrum efficient offshore lifting...
Proceedings Papers

Paper presented at the SNAME Maritime Convention, September 29–October 2, 2020
Paper Number: SNAME-SMC-2020-035
... machine learning freight & logistics services upstream oil & gas energy conservation renewable energy climate change artificial intelligence marine transportation reinforcement learning neural network regression sustainability smc2020-a virtual event application fuel...
Proceedings Papers

Paper presented at the SNAME Maritime Convention, September 29–October 2, 2020
Paper Number: SNAME-SMC-2020-053
... and discussed. maritime operation simulator continuous control reinforcement learning training step cumulative reward artificial intelligence virtual event evaluation operational discovery agent ice management arxiv limitation scenario machine learning simulation operation environmental...
Proceedings Papers

Paper presented at the SNAME Maritime Convention, September 29–October 2, 2020
Paper Number: SNAME-SMC-2020-098
... With increasingly inexpensive computational resources, big data and machine learning are more available and approachable than ever before. Many industries are moving towards including big data analytics in their current processes and having success using machine learning techniques to improve...
Proceedings Papers

Paper presented at the SNAME Maritime Convention, October 30–November 1, 2019
Paper Number: SNAME-SMC-2019-092
... The development of a Machine Learning-based image recognition tool for analysis of visual data is presented in this paper. Its application in detecting coating failures and corrosion is highlighted; the same methodology can be applied to detect other defects such as fractures and structural...
Proceedings Papers

Paper presented at the SNAME Maritime Convention, October 30–November 1, 2019
Paper Number: SNAME-SMC-2019-096
...-parameter conformal mapping unknown parameters. conformal mapping transformation ramujane description approximated section 0 multi-parameter conformal mapping transformation mapping application algorithm cient boundary cross section machine learning unknown parameter artificial...

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