Renewable energy: Present research and future scope of Artificial Intelligence

SK Jha, J Bilalovic, A Jha, N Patel, H Zhang - Renewable and Sustainable …, 2017 - Elsevier
The existence of sunlight, air and other resources on earth must be used in an appropriate
way for human welfare while still protecting the environment and its living creatures. The …

Machine learning in coastal bridge hydrodynamics: a state-of-the-art review

G Xu, C Ji, Y Xu, E Yu, Z Cao, Q Wu, P Lin… - Applied Ocean …, 2023 - Elsevier
Coastal bridges are vulnerable to complicated hydrodynamics induced by hostile natural
hazards, relevant research is thus required to ensure the safe operation of these critical …

A novel model to predict significant wave height based on long short-term memory network

S Fan, N Xiao, S Dong - Ocean Engineering, 2020 - Elsevier
A long short-term memory (LSTM) network is proposed for the quick prediction of significant
wave height with higher accuracy than conventional neural network. The LSTM network is …

Multi-step forecasting of ocean wave height using gate recurrent unit networks with multivariate time series

X Li, J Cao, J Guo, C Liu, W Wang, Z Jia, T Su - Ocean Engineering, 2022 - Elsevier
Ocean wave height is an essential parameter for ocean engineering construction, planning
decisions, and coastal hazards assessment. Long-term, accurate, and reliable ocean wave …

A BP neural network model optimized by mind evolutionary algorithm for predicting the ocean wave heights

W Wang, R Tang, C Li, P Liu, L Luo - Ocean Engineering, 2018 - Elsevier
In the field of marine detection and warning, predicting the heights of ocean wave is a very
important project. In order to predict the ocean wave heights accurately and quickly, our …

Prediction of significant wave height in hurricane area of the Atlantic Ocean using the Bi-LSTM with attention model

QR Luo, H Xu, LH Bai - Ocean Engineering, 2022 - Elsevier
The Bi-LSTM with attention (BLA) model is proposed to predict wave height in the hurricane
area of the Atlantic Ocean. Four data features (wave height, wind speed, wind direction, and …

[HTML][HTML] Application of neural networks and support vector machine for significant wave height prediction

J Berbić, E Ocvirk, D Carević, G Lončar - Oceanologia, 2017 - Elsevier
For the purposes of planning and operation of maritime activities, information about wave
height dynamics is of great importance. In the paper, real-time prediction of significant wave …

Comparison between M5′ model tree and neural networks for prediction of significant wave height in Lake Superior

A Etemad-Shahidi, J Mahjoobi - Ocean Engineering, 2009 - Elsevier
Prediction of wave height is of great importance in marine and coastal engineering. Soft
computing tools such as artificial neural networks (ANNs) are recently used for prediction of …

Prediction of significant wave height using regressive support vector machines

J Mahjoobi, EA Mosabbeb - Ocean Engineering, 2009 - Elsevier
Wave parameters prediction is an important issue in coastal and offshore engineering. In
this literature, several models and methods are introduced. In the recent years, the well …

Prediction of ocean wave height suitable for ship autopilot

R Lou, W Wang, X Li, Y Zheng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Ships are usually disturbed by waves when they are traveling at sea. When the waves are
large, it is not conducive to driving safety, comfort and economy. Therefore, this paper …