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 …

Prediction and reconstruction of ocean wave heights based on bathymetric data using LSTM neural networks

C Jörges, C Berkenbrink, B Stumpe - Ocean Engineering, 2021 - Elsevier
Since climate change impacts threaten the coastal regions of the North Sea, consistent sea
state time series are essential for building coastal protection or offshore structures. Vast …

Forecasting daily lake levels using artificial intelligence approaches

O Kisi, J Shiri, B Nikoofar - Computers & Geosciences, 2012 - Elsevier
Accurate prediction of lake-level variations is important for planning, design, construction,
and operation of lakeshore structures and also in the management of freshwater lakes for …

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 …

Forecasting, hindcasting and feature selection of ocean waves via recurrent and sequence-to-sequence networks

M Pirhooshyaran, LV Snyder - Ocean Engineering, 2020 - Elsevier
This article explores the concepts of ocean wave multivariate multistep forecasting,
reconstruction and feature selection. We introduce recurrent neural network frameworks …

Spatial ocean wave height prediction with CNN mixed-data deep neural networks using random field simulated bathymetry

C Jörges, C Berkenbrink, H Gottschalk, B Stumpe - Ocean Engineering, 2023 - Elsevier
With climate change impacts like sea level rise and changing storms, proper prediction of
significant wave height (SWH) becomes increasingly important for coastal protection and …

Significant wave height forecasting using wavelet fuzzy logic approach

M Özger - Ocean Engineering, 2010 - Elsevier
Wave heights and periods are the significant inputs for coastal and ocean engineering
applications. These applications may require to obtain information about the sea conditions …

Predicting carbonation coefficient using Artificial neural networks and genetic programming

SN Londhe, PS Kulkarni, PR Dixit, A Silva… - Journal of Building …, 2021 - Elsevier
Concrete carbonation is considered an important problem in both the Civil Engineering and
Materials Science fields. Over time, the properties of concrete change because of the …

A comparison of soft computing methods for the prediction of wave height parameters

R Tur, S Yontem - … -Based Engineering and …, 2021 - … journals.publicknowledgeproject.org
In the previous studies on the prediction of wave height parameters, only the significant
wave height has been considered as the unknown parameter to be predicted. However, the …

Comparison of data-driven modelling techniques for river flow forecasting

S Londhe, S Charhate - Hydrological Sciences Journal–Journal …, 2010 - Taylor & Francis
Accurate forecasting of streamflow is essential for the efficient operation of water resources
systems. The streamflow process is complex and highly nonlinear. Therefore, researchers …