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August 7, 2026; Marseille, France
VIII International Scientific and Theoretical Conference «Modern vision of implementing innovations in scientific studies»

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PREDICTIVE ANALYTICS AND ARTIFICIAL INTELLIGENCE IN EMERGENCY WARNING SYSTEMS

Published 07.08.2026

  • Igor Nevliudov
    • ,
  • Vladyslav Yevsieiev
    • ,
  • Svitlana Sotnik
    •

Igor Nevliudov
Kharkiv National University of Radio Electronics, Ukraine

Vladyslav Yevsieiev
Kharkiv National University of Radio Electronics, Ukraine

Svitlana Sotnik
Kharkiv National University of Radio Electronics, Ukraine

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Abstract

The rapid increase in natural, technological, military, and cyber threats, together with the dynamic evolution of emergency situations, necessitates a transition from traditional response methods to proactive early warning systems capable of predicting haz ardous events before they occur. Recent advances in artificial intelligence (AI), predictive analytics, big data, cyber -physical systems, digital twins, and the Internet of Things (IoT) provide the foundation for the comprehensive analysis of heterogeneous information streams, the identification of hidden patterns, and the real -time prediction of emergency scenarios. The application of predictive analytics and artificial intelligence algorithms enables timely risk assessment, the generation of well -founded early warnings, the optimization of civil protection resources, and improved decision -making efficiency.

Author Biography

Igor Nevliudov

Doctor of Engineering Science, Professor; Head of Department of Computer Integrated Technologies, Automation, Robotics and Safety Engineering

Vladyslav Yevsieiev

Doctor of Engineering Science, Professor; Professor of Department of Computer Integrated Technologies, Automation, Robotics and Safety Engineering

Svitlana Sotnik

Candidate of technical sciences, Associate Professor; Associate Professor of Department of Computer Integrated Technologies, Automation, Robotics and Safety Engineering

References

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