... stern-tube bearing design is modeled parametrically, considering an elastic shaft and utilizing a computational approach to solve the Reynolds equation. A general-purpose optimizer is used to calculate the Pareto optimum geometries and then the generated dataset is utilized to train ML algorithms able...

... of possible classes. artificial intelligence segmentation ensemble pixel deep learning convolutional neural network smc 2022 prediction classification sea ice characterization matthew king houston validation machine learning dataset architecture semantic segmentation SNAME Maritime...

... artificial intelligence dataset marine transportation freight & logistics services neural network climate change quantity houston prediction kriezis propeller pitch mae regression ship power speed coefficient consumption machine learning machine learning method smc 2022 fcnn mape...

..., 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...

... application derivative deep learning virtual event coefficient shaeffer smc2020 algorithm cost function hull form design architecture hull form dataset SNAME Maritime Convention 2020 A Virtual Event 29 September- 2 October Copyright © 2020 Society of Naval Architects and Marine Engineers...