SILGAN: Generative Adversarial Networks for Multimedia Data Compression in Solar Insecticidal Lamps Internet of Things-Reference-Cited by-同舟云学术

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SILGAN: Generative Adversarial Networks for Multimedia Data Compression in Solar Insecticidal Lamps Internet of Things

Published:2023-10-16 Issue: Volume: Page:
ISSN:
Container-title:IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society
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Author:

Chen Mingying¹,Liu Ye²,Shu Lei¹,Li Kailiang¹,Yang Xing¹,Yang Fan³

Affiliation:

1. College of Artificial Intelligence, Nanjing Agricultural University,Nangjing,China

2. Anhui Higher Education Institutes,Key Laboratory of Architectural Acoustic Environment,Hefei,China,230601

3. School of Mathematics and Statistics, Jiangsu Normal University,Xuzhou,China,221116

Funder

National Natural Science Foundation of China

Jiangsu Agriculture Science and Technology Innovation Fund (JASTIF)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10311571/10311610/10311876.pdf?arnumber=10311876

Reference10 articles.

1. Generative Adversarial Networks for Extreme Learned Image Compression

2. Real-time adaptive image compression;rippel;International Conference on Machine Learning,2017

3. Mobilenets: Efficient convolutional neural networks for mobile vision applications;howard;ArXiv Preprint,2017

4. Collaborative Industrial Internet of Things for Noise Mapping: Prospects and Research Opportunities

5. AnaMap: A Methodology of Simulation and Visualization for Actual Farmland Topography

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