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 …

In recent years, machine learning has become a hot research method in various fields and
has been applied to every aspect of our life, providing an intelligent solution to problems that …

Utilization and exploitation of marine resources by humans have contributed to the growth of
marine research. As technology progresses, artificial intelligence (AI) approaches are …

This paper evaluates the performance of different evolutionary neural network models in a
problem of solar radiation prediction at Toledo, Spain. The prediction problem has been …

The prediction of ocean waves is a highly challenging task in coastal and water engineering
in general due to their very high randomness. In the present case study, an analysis of wind …

Wave height prediction is a critical factor in the efficient operation of many offshore and
coastal engineering activities. The classical numerical solutions to this problem, based on …

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 …

The intense increase in offshore operational activities warrants periodical and accurate
prediction of the wave characteristics. Usually, complex numerical models that require high …

Nowadays, ocean observation technology continues to progress, resulting in a huge
increase in marine data volume and dimensionality. This volume of data provides a golden …

This paper proposes a novel methodology for recovering missing time series data, a crucial
task for subsequent Machine Learning (ML) analyses. The methodology is specifically …