Generative Adversarial Networks for DNA Storage Channel Simulator

Generative Adversarial Networks for DNA Storage Channel Simulator

DNA data storage systems have rapidly developed with novel error-correcting techniques, random access algorithms, and query systems. However, designing an algorithm for DNA storage systems is challenging, mainly due to the unpredictable nature of errors and the extremely high price of experiments. T...

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Bibliographic Details
Main Authors: Sanghoon Kang, Yunfei Gao, Jaeho Jeong, Seong-Joon Park, Jae-Won Kim, Jong-Seon No, Hahyeon Jeon, Jeong Wook Lee, Sunghwan Kim, Hosung Park, Albert No
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Channel simulator
DNA storage
generative adversarial networks
recurrent neural networks
transformer
Online Access:https://ieeexplore.ieee.org/document/10011419/

Internet

https://ieeexplore.ieee.org/document/10011419/

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