Method for generating gas leakage data based on Generative Adversarial Networks-Reference-Cited by-同舟云学术

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Method for generating gas leakage data based on Generative Adversarial Networks

Published:2023-08-04 Issue: Volume: Page:
ISSN:
Container-title:2023 7th International Conference on Transportation Information and Safety (ICTIS)
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Author:

Wang Tingting¹,Xu Yanwu²,Wang Yingming²,Yu Yongsheng³

Affiliation:

1. Economic and Technical Research Institute,State Grid Zhejiang Electric Power Co. LTD,Hangzhou,China

2. Wuhan University of Technology,School of Naval Architecture, Ocean and energy power engineering,Wuhan,China

3. Wuhan University of Technology,State Key Laboratory of Silicate Materials for Architectures,Wuhan,China

Funder

Research and Development

Technology Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10243582/10243583/10243718.pdf?arnumber=10243718

Reference15 articles.

1. Improved training of wasserstein gans;gulrajani;Advances in neural information processing systems,2017

2. A U-Net Based Discriminator for Generative Adversarial Networks

3. Visualizing data using t-SNE;van der maaten;Journal of Machine Learning Research,2008

4. Implementation of Constant-Q Transform (CQT) and Mel Spectrogram to converting Bird’s Sound

5. Progressive growing of gans for improved quality, stability, and variation;t,2017

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