Data-driven models for vessel motion prediction and the benefits of physics-based information

Sea state estimation using monitoring data by convolutional neural network (CNN)

(2021) Toshiki Kawai et al.   JOURNAL OF MARINE SCIENCE AND TECHNOLOGY

A novel approach for motion predictions of a semi-submersible platform with neural network

(2020) Yanfei Deng et al.   JOURNAL OF MARINE SCIENCE AND TECHNOLOGY

Multi-Step-Ahead Forecasting of Wave Conditions Based on a Physics-Based Machine Learning (PBML) Model for Marine Operations

(2020) Mengning Wu et al.   Journal of Marine Science and Engineering

Bayesian estimation of discrepancy in dynamics model prediction

(2019) Abhinav Subramanian et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Performance prediction of hydrofoil- supported catamarans using experiment and ANNs

(2018) Amin Najafi et al.   APPLIED OCEAN RESEARCH

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Modeling Ship Equations of Roll Motion Using Neural Networks

(2011) ZHILIANG XING et al.   NAVAL ENGINEERS JOURNAL

The Utilization of Artificial Neural Networks in Marine Applications: An Overview

(2009) GEORGE GOUGOULIDIS   NAVAL ENGINEERS JOURNAL