Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Meral, Sanem"'
Assessing seismic hazards and thereby designing earthquake-resilient structures or evaluating structural damage that has been incurred after an earthquake are important objectives in earthquake engineering. Both tasks require critical evaluation of s
Externí odkaz:
http://arxiv.org/abs/2408.14962
Autor:
Türkmen, Melek, Meral, Sanem, Yilmaz, Baris, Cikis, Melis, Akagündüz, Erdem, Tileylioglu, Salih
This paper explores the application of deep learning (DL) techniques to strong motion records for single-station epicenter localization. Often underutilized in seismology-related studies, strong motion records offer a potential wealth of information
Externí odkaz:
http://arxiv.org/abs/2405.18451