Fundamental study on probabilistic generative modeling of earthquake ground motion time histories using generative adversarial networks

Yuma Matsumoto / Taro Yaoyama / Sangwon Lee et al. | DOAJ | 2023

Fundamental study on probabilistic generative modeling of earthquake ground motion time histories using generative adversarial networks

Matsumoto, Yuma / Yaoyama, Taro / Lee, Sangwon et al. | Wiley | 2023

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

Detection of Plant Leaf Disease by Generative Adversarial and Deep Convolutional Neural Network

Deshpande, Rashmi / Patidar, Hemant | Springer Verlag | 2023

Crack Detection Based on Generative Adversarial Networks and Deep Learning

Chen, Gongfa / Teng, Shuai / Lin, Mansheng et al. | Springer Verlag | 2022