A deep learning approach to rapid regional post‐event seismic damage assessment using time‐frequency distributions of ground motions
Every year, earthquakes result in severe economic losses and a significant number of casualties worldwide. In limiting the losses that occur after these extreme events, timely and accurate assessment of seismic damages and mobilizing proportionate post‐event relief efforts play crucial roles. Tradit...
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Veröffentlicht in: | Earthquake engineering & structural dynamics 2021-05, Vol.50 (6), p.1612-1627 |
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