Machine learning in coastal bridge hydrodynamics: a state-of-the-art review
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 …
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 …
state time series are essential for building coastal protection or offshore structures. Vast …
Forecasting daily lake levels using artificial intelligence approaches
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 …
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 …
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 …
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 (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 …
applications. These applications may require to obtain information about the sea conditions …
Predicting carbonation coefficient using Artificial neural networks and genetic programming
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 …
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 …
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 …
systems. The streamflow process is complex and highly nonlinear. Therefore, researchers …