A Comparative Evaluation of Machine Learning Algorithms for the Prediction of R/C Buildings' Seismic Damage. (arXiv:2203.13449v1 [cs.LG])

Seismic assessment of buildings and determination of their structural damage
is at the forefront of modern scientific research. Since now, several
researchers have proposed a number of procedures, in an attempt to estimate the
damage response of the buildings subjected to strong ground motions, without
conducting time-consuming analyses. These procedures, e.g. construction of
fragility curves, usually utilize methods based on the application of
statistical theory. In the last decades, the increase of the computers' power
has led to the development …

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