Identification of Abnormal Processes with Spatial-Temporal Data Using Convolutional Neural Networks

Identification of Abnormal Processes with Spatial-Temporal Data Using Convolutional Neural Networks

Identifying abnormal process operation with spatial-temporal data remains an important and challenging work in many practical situations. Although spatial-temporal data identification has been extensively studied in some domains, such as public health, geological condition, and environment pollution...

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Bibliographic Details
Main Authors: Yumin Liu, Zheyun Zhao, Shuai Zhang, Uk Jung
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Processes
Subjects:
spatial-temporal data
pasting process
process image
convolutional neural network
Online Access:https://www.mdpi.com/2227-9717/8/1/73

Internet

https://www.mdpi.com/2227-9717/8/1/73

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