A machine learning approach to the seismic fragility assessment of buildings

Описание к видео A machine learning approach to the seismic fragility assessment of buildings

We publish the last video of the lectures of the PMO-GATE researchers in the minisymposium ECCOMAS MSF 2021.
Alessandro Rocchi, civil engineer with structural major, graduate of the University of Ferrara, exposes the research about "A machine learning approach to the seismic fragility assessment of buildings".

Do you want to know more?
Write to the researchers of the PMO-GATE Project:
[email protected]

Комментарии

Информация по комментариям в разработке