An Imbalanced Data Handling Framework for Industrial Big Data Using a Gaussian Process Regression-Based Generative Adversarial Network

An Imbalanced Data Handling Framework for Industrial Big Data Using a Gaussian Process Regression-Based Generative Adversarial Network

The developments in the fields of industrial Internet of Things (IIoT) and big data technologies have made it possible to collect a lot of meaningful industrial process and quality-based data. The gathered data are analyzed using contemporary statistical methods and machine learning techniques. Then...

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Bibliographic Details
Main Authors: Eunseo Oh, Hyunsoo Lee
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Symmetry
Subjects:
missing data generation
industrial big data
air pressure system
generative adversarial network
Gaussian process regression
Online Access:https://www.mdpi.com/2073-8994/12/4/669

Internet

https://www.mdpi.com/2073-8994/12/4/669

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