A Novel Short-Term Traffic Prediction Model Based on SVD and ARIMA With Blockchain in Industrial Internet of Things-Reference-Cited by-同舟云学术

A Novel Short-Term Traffic Prediction Model Based on SVD and ARIMA With Blockchain in Industrial Internet of Things

Author:

Miao Ying¹^ORCID,Bai Xiuhong²,Cao Yuxuan¹,Liu Yuwen³^ORCID,Dai Fei⁴^ORCID,Wang Fan⁵^ORCID,Qi Lianyong¹^ORCID,Dou Wanchun⁶^ORCID

Affiliation:

1. School of Computer Science, Qufu Normal University, Rizhao, China

2. Shandong Provincial University Laboratory for Protected Horticulture, Weifang University of Science and Technology, Shouguang, China

3. College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China

4. College of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming, China

5. College of Computer Science and Technolog, Zhejiang University, Hangzhou, China

6. Department of Computer Science and Technology, State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China

Funder

National Natural Science Foundation of China

Project of Key Science Foundation of Yunnan Province, China

Project of Dou Wanchun Expert Workstation of Yunnan Province, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

Reference36 articles.

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