The data flow risk monitoring system of the expressway networking system based on deep learning-Reference-Cited by-同舟云学术

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The data flow risk monitoring system of the expressway networking system based on deep learning

Published:2022-08-05 Issue:11 Volume:37 Page:8878-8896
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J of Intelligent Sys

Author:

Zhong Guoqing¹^ORCID,Ding Zhiquan¹^ORCID,Zhang Guolong¹^ORCID,Xu Jianbin²^ORCID,Tu Botao¹^ORCID,Zhan Aiyun³^ORCID,Zhang Yuejin¹^ORCID

Affiliation:

1. School of Information Engineering East China Jiaotong University Nanchang China

2. Department of Transportation of Jiangxi Province Traffic Monitoring and Command Centre Nanchang China

3. School of Electrical and Automation Engineering East China Jiaotong University Nanchang China

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22972

Reference28 articles.

1. GaoY ZhaoJ QinZ FengY YangZ JiaB.Traffic speed forecast in adjacent region between highway and urban expressway: based on MFD and GRU model.J Adv Transport.2020;1‐18.doi:10.1155/2020/8897325

2. APPM: Adaptive Parallel Processing Mechanism for Service Function Chains

3. Identification Technology of Grid Monitoring Alarm Event Based on Natural Language Processing and Deep Learning in China

4. Operational Risk Assessment of Electric-Gas Integrated Energy Systems Considering N-1 Accidents

5. Enhancing intrusion detection with feature selection and neural network

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