Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023)

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Deep Learning-Based University-Assisted Management Solution for Public Health Emergencies

Authors
Jingshu Liu1, 2, *, Lei Zhang1, Cuilu Wang1
1Air Force Engineering University, Xi’an, 710051, China
2Xi’an Eurasia University, Xi’an, 710065, China
*Corresponding author. Email: 415982777@qq.com
Corresponding Author
Jingshu Liu
Available Online 4 September 2023.
DOI
10.2991/978-94-6463-230-9_32How to use a DOI?
Keywords
artificial intelligence; public health events; university management; 4R crisis management theory; campus intelligence; epidemic security mechanism
Abstract

Once a public health event spreads in schools, it will affect the stability of families, schools and even society. Therefore, timely adjustment of student management strategies in colleges and universities is important for students’ physical and mental health, teaching activities and epidemic control. Based on the 4R crisis management theory, this paper summarizes and analyzes the problems and reasons for universities to deal with the epidemic; proposes the solution of artificial intelligence-assisted university management in three aspects: precise control of personnel movement, campus security and establishment of epidemic emergency system; and proposes the solution of campus intelligent construction to guarantee the scientific operation of epidemic safety management, taking into account the actual situation of domestic universities. The seminar will provide reference experience for universities.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
4 September 2023
ISBN
978-94-6463-230-9
ISSN
2667-128X
DOI
10.2991/978-94-6463-230-9_32How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Jingshu Liu
AU  - Lei Zhang
AU  - Cuilu Wang
PY  - 2023
DA  - 2023/09/04
TI  - Deep Learning-Based University-Assisted Management Solution for Public Health Emergencies
BT  - Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023)
PB  - Atlantis Press
SP  - 259
EP  - 271
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-230-9_32
DO  - 10.2991/978-94-6463-230-9_32
ID  - Liu2023
ER  -