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Keywords: machine learning
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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
... 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-2019-030
Proceedings Papers

Paper presented at the SNAME Maritime Convention, October 30–November 1, 2019
Paper Number: SNAME-SMC-2019-034
... in waves. machine learning equation wave resistance maneuvering trajectory propeller model calm water 6dof propeller hydrodynamic force reservoir simulation hybrid method coefficient artificial intelligence ship drift angle rudder scale factor vof method Numerical...
Proceedings Papers

Paper presented at the SNAME Maritime Convention, October 30–November 1, 2019
Paper Number: SNAME-SMC-2019-040
...Merits of Machine Learning in Voyage Routing Problems John C. Bandas (AM) Hydrodynamic Engineer, MARIN USA, Houston, Texas For the purpose of simulating marine heavy lift transports and installations of major facilities, the SafeTrans tool incorporates a Captain Decision Mimic (CDM) to allow for...
Proceedings Papers

Paper presented at the SNAME Maritime Convention, October 30–November 1, 2019
Paper Number: SNAME-SMC-2019-047
... the Fourth Industrial Revolution. Schwab (2016) claimed that the features of the Fourth Industrial Revolution are the ubiquitous mobile Internet, a cheaper, smaller, and more powerful sensor, and artificial intelligence and machine learning. As these technologies converge and interact, new...
Proceedings Papers

Paper presented at the SNAME Maritime Convention, October 30–November 1, 2019
Paper Number: SNAME-SMC-2019-077
... graduate Naval Architects and Ocean Engineers to consider a career in the offshore industry where they will have an impactful role in shaping the future of deepwater floating production platforms. module installation requirement tacoma wa machine learning configuration fpss subsea system...
Proceedings Papers

Paper presented at the SNAME Maritime Convention, October 30–November 1, 2019
Paper Number: SNAME-SMC-2019-081
... strength latin hypercube hypercube design uniformity design point dimension computer experiment artificial intelligence machine learning lhc design slhd orthogonality latin hypercube design experiment limitation Latin Hypercube Sampling Strategies Applied to Set-Based Design Jamie M...
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...
Proceedings Papers

Paper presented at the SNAME Maritime Convention, October 24–27, 2018
Paper Number: SNAME-SMC-2018-060
... deep learning shipyard coverage ratio work item neural network identification probability input image data welding work work observation work status dnn welding machine learning checking welding arc artificial intelligence marine transportation total coverage number tanaka image data...
Proceedings Papers

Paper presented at the SNAME Maritime Convention, October 24–27, 2018
Paper Number: SNAME-SMC-2018-040
... of common and costly mechanical faults. Test cases are shown to illustrate and validate the system usage and performance. hardware component discrimination anomaly detection visualization sparse modeling machine learning consumer health acoustic sensor sensor algorithm detection shm...
Proceedings Papers

Paper presented at the SNAME Maritime Convention, October 24–27, 2018
Paper Number: SNAME-SMC-2018-056
... prediction data mining artificial intelligence sparkcognition machine learning anomaly maintenance abnormal behavior marine transportation information threshold prediction predictive maintenance propulsion motor historical data critical asset generator alternator predictive analytics...
Proceedings Papers

Paper presented at the SNAME Maritime Convention, October 24–27, 2018
Paper Number: SNAME-SMC-2018-036
... transportation physical testing displacement upstream oil & gas expert system application swaged bulkhead machine learning test specimen nassco swage bulkhead bulkhead specimen green nsrp NSRP: Swage Panel SVR Rule Development Jessica A. Green 1 (M) and Frederick H. Ashcroft 1 (FL) 1...
Proceedings Papers

Paper presented at the SNAME Maritime Convention, October 24–27, 2018
Paper Number: SNAME-SMC-2018-068
... discussed in this forum. parametric roll freight & logistics services crested sea wave field significant wave height machine learning modeling requirement sea state granularity wave height us government probability sea condition operation soe polar plot ship marine transportation...
Proceedings Papers

Paper presented at the SNAME Maritime Convention, October 24–28, 2017
Paper Number: SNAME-SMC-2017-003
... uncertainty space trajectory flexible infrastructure vector modular hull ship artificial intelligence service life asset and portfolio management flexibility machine learning modernization probability container stack markov chain modernization process aperture station operational relevance...
Proceedings Papers

Paper presented at the SNAME Maritime Convention, October 24–28, 2017
Paper Number: SNAME-SMC-2017-076
... / Structured Light Access Techniques Capture in Person Aerial Photography Unmanned Aerial Vehicles Ground-based robots Task Automation Machine Learning Reality Capture or Modelling is the category of activities associated with developing a digital representation of the space. The techniques range...
Proceedings Papers

Paper presented at the SNAME Maritime Convention, October 24–28, 2017
Paper Number: SNAME-SMC-2017-084
...Cognitive Analysis and Machine Learning will Drive Change in the Maritime Industry Walter Mitchell, Maritime Director, SparkCognition, Inc. OVERVIEW Rapidly developing technologies are transforming the way major transportation assets are managed. Innovations such as the cloud, cognitive analytics...

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