... 2023 1 6 2023 1 6 2023 Copyright 2023, The International Society of Offshore and Polar Engineers united states government europe government marine transportation neural network hyperparameter optimization problem deep learning artificial intelligence machine learning...

...Haoyun Tang; Zichen He; Xianku Zhang; Qian Wan _ To improve the effectiveness of the long-term structural monitoring of ships in irregular waves, an autonomous signal recognition method is studied using machine learning technology. On the basis of fast Fourier filtering and a backpropagation neural...

...Jae-Hoon Lee; Jaehak Lee; Yonghwan Kim; Yangjun Ahn _ This paper investigates the possibility of the machine learning technique being applicable in the real-time prediction of wave-induced ship motions. An integrated machine learning model is proposed by considering the two different physical...

... 7 2022 7 11 2022 7 11 2022 1 3 2023 1 3 2023 elevation machine learning asia government displacement reinforcement learning interaction upstream oil & gas artificial intelligence agent china government null flume international journal simulation...

...Aleksei Buinyi; Ekaterina Zhdanova; Aleksandr Evdokimov; Natalia Sukhikh _ Nowadays, the problem of short- and long-term forecasts in the Arctic region becomes more important for global logistics and engineering. Here, we present our first findings on the application of machine learning (ML...

... Copyright 2022, The International Society of Offshore and Polar Engineers coefficient assimilation marine transportation machine learning air emission international journal surge frequency enkf kashiwagi artificial intelligence heave upstream oil & gas ship equation self-organizing...

...Xiao Lang; Da Wu; Wengang Mao _ This paper proposes a machine learning–based ship speed over a ground prediction model, driven by the eXtreme Gradient Boosting (XGBoost) algorithm. The data set is acquired from a world-sailing chemical tanker with five years of full-scale measurements. The model...

... areas, but it has certain limitations of application for nearshore areas with complex terrain. In recent years, artificial intelligence methods such as machine learning techniques have attracted much attention from researchers in various fields because the emergence of these methods effectively makes up...

..., The International Society of Offshore and Polar Engineers machine learning simulation lateral artificial intelligence wcp international journal subsea system accuracy efficiency extract obtaining extreme multidirectional current profile current profile formulation operation rov lateral database...

... Engineers machine learning median grain size artificial intelligence beach erosion international journal coastal eng beach profile submerged depth coastaleng experiment sandbar sediment transport beach profile evolution case 2 artificial sandbar wave condition asymmetry wave height...

... in middle-filling levels—need to be thoroughly investigated. 6 8 2021 15 12 2021 1 3 2022 1 3 2022 Copyright 2022, The International Society of Offshore and Polar Engineers liquified natural gas upstream oil & gas engineering machine learning lng artificial...

..., The International Society of Offshore and Polar Engineers 24 4 2021 24 6 2021 1 12 2021 1 12 2021 machine learning neural network offshore pipeline upstream oil & gas artificial intelligence reaction force clay parameter input parameter statistical index train 0 elm...

... and multi-objective optimization. optimization problem optimization parallel midbody artificial intelligence resistance coefficient machine learning constraint hydrodynamic performance bottom flying node lingyun xu qin harbin engineering university harbin multi-objective optimization obfn...

... system convolution term wave crest machine learning upstream oil & gas sea state assessment international journal fatigue damage dynamic response psd dynamic analysis model stochastic wave artificial intelligence transfer function kurtosis non-gaussian stochastic wave state-space...

... 1 9 2021 1 9 2021 2021. The International Society of Offshore and Polar Engineers machine learning angle condition international journal classification accuracy artificial intelligence crack direction crack angle condition aspect ratio neural network crack location...

... international journal optimization problem correlation directional extreme profile artificial intelligence current direction prediction directional data current profile extreme prediction contribution rate machine learning upstream oil & gas south china sea extreme profile current profile...

... fpso upstream oil & gas subsea system neural network machine learning floating production storage & offloading floating production system accuracy prediction result dimension international journal floating production storage and offloading sea state operation artificial...

... their structural safety. When a crack propagates to a certain extent, the structure will undergo brittle fracture, which will be accompanied by a catastrophic accident. To avoid potential safety hazards caused by structural damage, machine learning (ML), a data-driven damage-detection approach, has been studied...

.... A brief survey of available literature concerning ice basin tests and empirical methods to investigate the parameter effects on the forces on a station-keeping vessel is provided below. artificial intelligence concentration drift speed engineering factorial design 2-fi model machine learning...

... impacts to minimum levels are the main considerations (Chung, 1985; Boetius and Haeckel, 2018). metals & mining effect-based device effect-based case machine learning coanda effect-based case chung artificial intelligence flow field international journal upstream oil & gas nodule...