... 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...

..., Ship Tech Res, 64(1), 30 39. httpsdoi.org/10.1080/09377255.2017.1309786. Liu, Y, Duan, W, Haung, L, Duan, S, and Ma, X (2020). The Input Vector Space Optimization for LSTM Deep Learning Model in Real-time Prediction of Ship Motions, Ocean Eng, 213, 107681. httpsdoi.org/10.1016/j.oceaneng.2020.107681...

... their work on the results of numerical modeling using WAVEWATCH III. However, Ali et al. (2021) concluded that ARIMA performed the worst in significant wave height prediction. The best results were obtained by gated recurrent units of the deep learning model. They also attempted to use the Long Short Time...

...Dongliang Ma; Deyu Wang The application of deep learning in structural health monitoring has generated increasing interest in recent years. However, its application to ship hull structural health monitoring based on vibration signals remains in its infancy. Recent studies have demonstrated...

...Ji Yao; Wenhua Wu Under extreme met-ocean environmental loads, floating platforms may exhibit complex dynamic states. This paper provides a novel method to predict the extreme motions of a floating platform based on a deep learning algorithm that can provide some guidance for platform operators...

... by many scholars. neural network crack location artificial intelligence engineering crack length learning rate cnn method deep learning accuracy detection true crack length single-crack detection machine learning classification plate crack damage detection noise free noise cnn damage...