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Related Experiment Video

Updated: Aug 24, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
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Emergency Information Communication Structure by Using Multimodel Fusion and Artificial Intelligence Algorithm.

Liping Lei1

  • 1School of Political Science and Public Administration, East China University of Political Science and Law, Shanghai 201620, China.

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|October 20, 2022
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Summary

This study addresses shortcomings in China's emergency management system, particularly information communication issues. It introduces a novel QG algorithm using artificial intelligence to enhance emergency information sharing and improve crisis response efficiency.

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Area of Science:

  • Public Administration
  • Information Science
  • Artificial Intelligence

Background:

  • Increasing social events necessitate robust emergency management.
  • Current emergency management mechanisms face challenges in information communication and inter-departmental cooperation.
  • Inefficiencies in emergency information flow hinder effective crisis response.

Purpose of the Study:

  • To identify and address shortcomings in China's emergency management system.
  • To improve the efficiency of emergency information management.
  • To enhance inter-departmental cooperation during crisis events.

Main Methods:

  • Analysis and integration of various emergency information management models.
  • Application of artificial intelligence algorithms for prediction model development.
  • Development of a QG algorithm based on model fusion and multi-modal prediction.

Main Results:

  • A novel QG algorithm was developed using artificial intelligence.
  • The developed model demonstrates potential in promoting inter-departmental emergency information sharing.
  • The research evaluates domestic and international emergency information management strategies.

Conclusions:

  • The proposed QG algorithm can significantly improve emergency information management.
  • Enhanced information sharing leads to more efficient and effective crisis response.
  • Artificial intelligence offers a promising avenue for optimizing emergency management systems.