Luentosarja: Machine Learning Framework To Model Extreme Events for Nonlinear Marine Dynamics

This event is part of a lecture series for experts, professors and industry leaders in the maritime sector

Extreme events such as large motions and loads on marine systems can result in damage to the device or loss of life. In this talk, the prediction of extreme events is described and addressed from a machine-learning perspective. The novel framework uses high-fidelity computational fluid dynamics for learning, and is demonstrated on various nonlinear ship dynamics problems.

Lecturer: Kevin Maki

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