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On the Private Data Synthesis Through Deep Generative Models for Data Scarcity of Industrial Internet of Things
Yen Ting Chen, Chia Yi Hsu,
Chia Mu Yu
*
, Mahmoud Barhamgi, Charith Perera
*
此作品的通信作者
資訊管理與財務金融學系
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引文 斯高帕斯（Scopus）
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Keyphrases
Network Structure
100%
Synthetic Data
100%
Private Data
100%
Data Synthesis
100%
Industrial Internet of Things (IIoT)
100%
Informatics
100%
Data Scarcity
100%
Deep Generative Models
100%
Deep Learning Methods
50%
Huge Amounts of Data
50%
Industrial Devices
50%
Promising Solutions
50%
Generative Adversarial Networks
50%
Machining Operations
50%
Operation Process
50%
Differentially Private
50%
Data Intelligence
50%
Computer Science
Data Synthesis
100%
Industrial Internet of Things
100%
Deep Generative Model
100%
Network Structure
100%
Collected Data
50%
Synthetic Datasets
50%
Generative Adversarial Networks
50%
Synthetic Data
50%
Operation Process
50%
Deep Learning Method
50%
Engineering
Generative Model
100%
Industrial Internet
100%
Internet-Of-Things
100%
Collected Data
50%
Operation Process
50%
Machine Manufacturer
50%
Deep Learning Method
50%
Chemical Engineering
Deep Learning Method
100%