May 16, 2024, 4:41 a.m. | Yazhou Xie

cs.LG updates on arXiv.org arxiv.org

arXiv:2405.09021v1 Announce Type: new
Abstract: This article surveys the growing interest in utilizing Deep Learning (DL) as a powerful tool to address challenging problems in earthquake engineering. Despite decades of advancement in domain knowledge, issues such as uncertainty in earthquake occurrence, unpredictable seismic loads, nonlinear structural responses, and community engagement remain difficult to tackle using domain-specific methods. DL offers promising solutions by leveraging its data-driven capacity for nonlinear mapping, sequential data modeling, automatic feature extraction, dimensionality reduction, optimal decision-making, etc. …

abstract advancement article arxiv community cs.lg deep learning domain domain knowledge earthquake engagement engineering knowledge responses review seismic surveys tool type uncertainty

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