Wind and wave energy have substantial potential as renewable sources of electricity. With
the development of various power-generating options, wind and wave energy are expected …

Due to strong non-linearity, ocean surface gravity waves are difficult to directly and
accurately predict, despite their importance for a wide range of coastal, nearshore, and …

To predict the dynamic response of high-speed trains (HSTs) passing through cable-stayed
bridges (CSBs), this paper proposed a prediction framework based on the genetic algorithm …

Living shorelines as a nature-based solution for climate change adaptation were
constructed in many places around the world. The success of this type of projects requires …

Significant wave height (SWH) prediction is crucial for marine safety and navigation. A slow
failure particle swarm optimization for long short-term memory (SFPSO-LSTM) is proposed …

The high-precision prediction of ocean tides is important for coastal management.
Traditional harmonic analysis (HA) regards tides as the cumulative motion of multiple …

This paper proposes a hybrid method for forecasting significant wave height (SWH). The
wavelet decomposition algorithm is applied to decompose the original signal into different …

The global navigation satellite system reflectometry (GNSS-R) technique has shown
promise in retrieving sea levels using signal-to-noise ratio (SNR) data. However, its …

A machine learning (ML) method is generalizable if it can make predictions on inputs which
differ from the training dataset. For predictions of wave-induced ship responses …

This study evaluates the potential of applying echo state networks (ESN) and autoregression
(AR) for dynamic time series prediction of free surface elevation for use in wave energy …