...-established techniques for characterizing the marine environment that serve as input for numerical simulations. geologist sedimentology social responsibility sustainable development marine environment smc 2024 artificial intelligence machine learning sustainability sedimentary geology...

... process. With a machine learning based AI algorithm, the identified capabilities and benefits serve as just the genesis for shipbuilding applications. The process of arranging equipment and machinery throughout a ship is one that requires constant attention, as selections and variables are constantly...

... europe government bearing machine learning marine bearing lambda optimization problem algorithm activation ml smc 2023 artificial intelligence rossopoulo dataset shaft optimal double slope parameter prediction ml algorithm misalignment san diego SNAME Maritime Convention 2023...

... 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...

... applications. digital twin scenario evaluation dimension marine transportation machine learning requirement identification disruption planning & scheduling application houston constraint formula functionality artificial intelligence proactive production planning smc 2022 shipyard...

... 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...

... 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...

... 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...

... & 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...

... 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...

... 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...

... 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...

... 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 window operation significant wave height buoy...

.... 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...

... marine transportation criteria international journal artificial intelligence smc2021 error priority number machine learning error data information error group the shipyard diagram cause-effect analysis corrective action evaluation helvacioglu shipbuilding engineering principle...

... metres and showed that the wave spectrum and short-time phase-resolved wave evolution at vessel site are correctly predicted 4-8 minutes ahead. real time system ocean energy subsea system machine learning upstream oil & gas accuracy renewable energy remotely operated vehicle artificial...

... operating it in a better way, for example, with more energy-efficient machinery, optimising the speed or route. During the last decade, the area of machine learning has evolved significantly, and these methods are applicable in many more fields than before. The field of ship efficiency improvement by using...

... 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...

... 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...

... average change clearing ice condition ice concentration evidence-based method machine learning training 0 training session training ii marine transportation concentration upstream oil & gas scenario artificial intelligence experiment lifeboat launch zone mild ice condition...