..., The International Society of Offshore and Polar Engineers artificial intelligence adrc optimization problem ship target path ship course control evolutionary algorithm rejection control parameter tuning method controller disturbance derivative fossen guidance law machine learning drift angle...

... responsibility international journal data mining energy lstm artificial intelligence machine learning wave energy converter modeling & simulation sustainable development renewable energy renene accuracy principal component analysis wec polar engineering pto information International...

...-varying weight adjustment methods, with a more effective mapping mode, higher accuracy, and shorter computing time. 10 9 2023 8 1 2024 3 6 2024 3 6 2024 Copyright 2024, The International Society of Offshore and Polar Engineers deep learning machine learning ship...

.... Additionally, we introduce the LSTM technique to account for the nonlinear properties of dynamic systems. For the development of the LSTM machine learning model, the two different types of networks are incorporated so that the influences of the wave excitation and memory effects are considered simultaneously...

... international journal asia government particle ship maneuvering motion evolutionary algorithm maneuver hyperparameter pso-gpr optimization characteristic ocean eng oceaneng dataset machine learning validation dataset prediction accuracy black-box modeling International Journal of Offshore...

... multidimensional space the databases span. In this work, we improve the flexible cylinder VIV prediction by machine learning the hydrodynamic databases using measurements along the structure; such a methodology has been proven effective for vertical flexible risers in uniform and sheared flows using vibration...

... modeling & simulation cnn asia government artificial intelligence accuracy tsuruga rmse neural network machine learning covariance matrix polar engineering deep learning arbitrary location prediction international journal kuzi real-time wave-prediction method ministry information...

... Society of Offshore and Polar Engineers united states government europe government marine transportation neural network hyperparameter optimization problem deep learning artificial intelligence machine learning algorithm optimization international journal surrogate model resistance...

...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...

... Copyright 2022, 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...

... Eng Proc, Washington, DC, USA, ASCE, 975 994. 15 8 2021 6 10 2021 6 10 2021 1 6 2022 1 6 2022 Copyright 2022, The International Society of Offshore and Polar Engineers machine learning median grain size artificial intelligence beach erosion international...

... SYMPOSIA: Sloshing, Tsunami, SPH, COASTAL ENGINEERING & CFD CFD, MPS, ANN, Learning, GIS, Tsunami, Typhoon, Storm Surge, Hydrodynamics, Waves, Internal Waves, Morphodynamics, Structures, Breakwaters, Port, Ecosystem Particle Methods for Ocean and Coastal Symp Innovation, AI, Machine Learning (ML), ANN...

... 1 12 2021 1 12 2021 Copyright 2021, The International Society of Offshore and Polar Engineers 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. Copyright 2021, The International Society of Offshore and Polar Engineers optimization problem optimization parallel midbody artificial intelligence resistance coefficient machine learning constraint hydrodynamic performance bottom flying node lingyun xu...