Recent advances in machine learning have revolutionised the prediction of wave heights, a critical parameter in coastal engineering, maritime navigation and renewable energy optimisation.

This method is applied to a use case of water temperature prediction in the Delaware River Basin (DRB) and is designed to overcome some of the common pitfalls of prediction using machine learning.

Moreover, using ML techniques can reduce the costs associated with storm surge predictions, positioning these models as potential rapid-response forecasting systems for future storm surges.

Researchers in Denmark say they have used powerful machine-learning algorithms to accurately predict certain aspects of human lives, including how early someone is likely to die.

Using a new type of machine learning method called next generation reservoir computing, researchers at The Ohio State University have recently found a new way to predict the behavior of ...

Using population-level administrative data, they developed a machine learning (ML) system that predicts death within 1 year of each cancer treatment and used this information to trigger a palliative ...

Filling gaps in data sets or identifying outliers—that's the domain of the machine learning algorithm TabPFN, developed by a team led by Prof. Dr. Frank Hutter from the University of Freiburg ...

The paper performs analysis of the Duckworth-Lewis (D/L) method \\[Duckworth and Lewis, JORS 1998;49(3):220–227] for One Day International (ODI) cricket matches. The paper compares the accuracy of the ...

Combining concepts from statistical physics with machine learning, researchers at the University of Bayreuth have shown that highly accurate and efficient predictions can now be made as to whether ...