Deep convolutional generative adversarial networks for the generation of numerous artificial spectrum‐compatible earthquake accelerograms using a limited number of ground motion records

Matinfar, Mehrshad / Khaji, Naser / Ahmadi, Goodarz | Wiley | 2023

Conditional Generative Adversarial Networks with Adversarial Attack and Defense for Generative Data Augmentation

Baek, Francis / Kim, Daeho / Park, Somin et al. | ASCE | 2022

Seismic Analysis of Steel Frames Using Spectral-Representation-Based Artificial Accelerograms

Rashidi, S. / Saadeghvaziri, M. A. / Navalurkar, R. et al. | British Library Conference Proceedings | 2005

Structural floor acceleration denoising method using generative adversarial network

Shen, Junkai / Zhang, Lingxin / Kusunoki, Koichi et al. | Elsevier | 2023

Architectural Visualisation with Conditional Generative Adversarial Networks (cGAN)

Chan, Yick Hin Edwin / Spaeth, A. Benjamin | TIBKAT | 2020