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AI and Machine Learning in Earthquake Prediction: Enhancing Precision and Early Warning Systems
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Author(s): U. V. Anbazhagu (Department of Computing Technologies, School of Computing, SRM Institute of Science and Technology, Kattankulathur, India), R. Sonia (Department of Computer Applications, B.S. Abdur Rahman Crescent Institute of Science and Technology, Chennai, India), Rakesh Kumar Grover (Department of Civil Engineering, Jabalpur Engineering College, Jabalpur, India), E. Afreen Banu (Department of Computer Engineering, Shah and Anchor Kutchhi Engineering College, Mumbai, India), C. Jothikumar (Department of Computing Technologies, SRM Institute of Science and Technology, Kattankulathur, India)and M. Sudhakar (Mechanical Engineering, Sri Sai Ram Engineering College, India)
Copyright: 2025
Pages: 32
Source title:
Modern SuperHyperSoft Computing Trends in Science and Technology
Source Author(s)/Editor(s): Florentin Smarandache (University of New Mexico, USA)and Priyanka Majumder (Techno College of Engineering, Agartala, India)
DOI: 10.4018/979-8-3693-6875-6.ch001
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Abstract
This chapter explores how AI and ML can be applied towards earthquake prediction to potentially impact the enhancement in precision and timeliness of the forecast of seismic events. The traditional methods have been taking advantage of geological data, whereas a data-driven approach from AI/ML leverages massive data streams, historical, and real-time seismic data. Some of the main ML algorithms used in pattern identification for seismic activities include neural networks, deep learning, and SVM. The chapter delves into how these technologies come together with the data on geospatially, sensor networks, and real-time monitoring to produce better predictions of earthquakes. Data quality, algorithmic transparency, and the complexity of seismic phenomena are also considered issues. This new area of research will well be worth developing to enhance the quality of early warning systems and decrease the destructive losses in lives and infrastructures caused by earthquakes.
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