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Connectivity-informed drainage network generation using deep convolution generative adversarial networks

Stochastic network modeling is often limited by high computational costs to generate a large number of networks enough for meaningful statistical evaluation. In this study, Deep Convolutional Generative Adversarial Networks (DCGANs) were applied to quickly reproduce drainage networks from the alread...

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Detaylı Bibliyografya
Yayımlandı:Sci Rep
Asıl Yazarlar: Kim, Sung Eun, Seo, Yongwon, Hwang, Junshik, Yoon, Hongkyu, Lee, Jonghyun
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Nature Publishing Group UK 2021
Konular:
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC7810735/
https://ncbi.nlm.nih.gov/pubmed/33452322
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-80300-6
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