Traffic Data-Empowered XGBoost-LSTM Framework for Infectious Disease Prediction-Reference-Cited by-同舟云学术

Traffic Data-Empowered XGBoost-LSTM Framework for Infectious Disease Prediction

Published:2022 Issue: Volume: Page:1-12
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Guo Kehua¹^ORCID,Shen Changchun¹^ORCID,Zhou Xiaokang²^ORCID,Ren Sheng¹^ORCID,Hu Min¹^ORCID,Shen Minxue³,Chen Xiang³^ORCID,Guo Haifu¹^ORCID

Affiliation:

1. School of Computer Science and Engineering, Central South University, Changsha 410083, China.

2. Faculty of Data Science, Shiga University, Hikone, Shiga 522-8522, Japan, and also with the RIKEN Center for Advanced Intelligence Project, Tokyo 103-0027, Japan.

3. Xiangya Hospital, Central South University, Changsha 410083, China.

Funder

Natural Science Foundation of China

Open Research Projects of Zhejiang Laboratory

Hunan Provincial Science and Technology Plan Project

Key Projects of Hunan Education Department

National Science Foundation of Hunan Province

National Social Science Fund of China

Fundamental Research Funds for the Central Universities of Central South University

Project of Hunan Provincial Department of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/4358928/09774976.pdf?arnumber=9774976

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