Generative adversarial networks review in earthquake-related engineering fields
Within seismology, geology, civil and structural engineering, deep learning (DL), especially
via generative adversarial networks (GANs), represents an innovative, engaging, and …
via generative adversarial networks (GANs), represents an innovative, engaging, and …
Generative deep learning for data generation in natural hazard analysis: motivations, advances, challenges, and opportunities
Data mining and analysis are critical for preventing or mitigating natural hazards. However,
data availability in natural hazard analysis is experiencing unprecedented challenges due to …
data availability in natural hazard analysis is experiencing unprecedented challenges due to …
Ground-motion simulations using two-dimensional convolution condition adversarial neural network (2D-cGAN)
In this paper, an integrated framework based on conditional adversarial neural network
(cGAN) is established to simulate ground motions for earthquake scenarios with different …
(cGAN) is established to simulate ground motions for earthquake scenarios with different …
EML-PSP: A novel ensemble machine learning-based physical security paradigm using cross-domain ultra-fused feature extraction with hybrid data augmentation …
Seismic signals classification has many real-time applications related to monitoring and
collecting information for investigations, public safety, and prevention of security breaches …
collecting information for investigations, public safety, and prevention of security breaches …
Site-Specific Ground Motion Generative Model for Crustal Earthquakes in Japan Based on Generative Adversarial Networks
Y Matsumoto, T Yaoyama, S Lee, T Hida… - arXiv preprint arXiv …, 2024 - arxiv.org
We develop a site-specific ground-motion model (GMM) for crustal earthquakes in Japan
that can directly model the probability distribution of ground motion acceleration time …
that can directly model the probability distribution of ground motion acceleration time …
Correlated Scenario Generation Using Generative Models
M Bilal - 2022 - search.proquest.com
With the continued increase in the amount of renewable generation in the form of distributed
energy resources, reliability planning has progressively become a more challenging task for …
energy resources, reliability planning has progressively become a more challenging task for …