Can Artificial Intelligence Aid in Forecasting Earthquakes? explores the potential of AI in revolutionizing earthquake forecasting and early warning systems. This book delves into the latest advancements in computational intelligence, rule-based approaches, machine learning, and deep learning algorithms. By examining the evolution of research and the current state of earthquake early warning systems, the author sheds light on the data typically used in seismic forecasting. Other significant points include an analysis of various AI techniques for earthquake prediction and early warning, a discussion on the advantages and limitations of AI-based forecasting, and future implications for the field.
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Table of Contents
1. Introduction2. Earthquake Early Warning systems
3. Evolution of Earthquake Forecasting Research
4. Data Used in Earthquake Prediction
5. AI Techniques for Earthquake Prediction
6. Application of AI Techniques for Earthquake Forecasting
7. Advantages and Limitations of AI-Based Earthquake Prediction
8. Conclusions
Authors
Bikash Sadhukhan Associate Professor in the Department of Computer Science and Engineering at Techno International New Town, Kolkata, West Bengal, India.Bikash Sadhukhan is an accomplished Academician and Researcher in the field of Computer Science and Engineering. The author is currently serving as an Associate Professor at Techno International New Town, Kolkata, India.
