Can Artificial Intelligence Aid in Forecasting Earthquakes?

Erscheinungsjahr 2025
ISBN: 978-0-443-38343-4
Verlag: Elsevier Science

Buch, Englisch, 275 Seiten, Format (B × H): 152 mm x 229 mm

Can Artificial Intelligence Aid in Forecasting Earthquakes? poses a fascinating question about the applicability of artificial intelligence (AI) in earthquake forecasting and early warning systems. The author comprehensively reviews the latest advancements in computational intelligence, rule-based approaches, machine learning, and deep learning algorithms used in seismic signal analysis. The opening chapters thoroughly examine the evolution of earthquake forecasting research and the current state of earthquake early warning systems. After a close look at what data is most often used in earthquake forecasting, the author explores the various AI techniques that have the potential for application in earthquake prediction, forecasting, and early warning systems. This is followed by a rigorous discussion of the advantages and limitations of AI-based earthquake forecasting as well as future implications for the field. Given the increasing frequency and impact of seismic events globally, researchers will appreciate this cutting-edge resource on the expanding role of AI in seismic forecasting.

Autoren/Hrsg.

Sadhukhan, Bikash

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Geowissenschaften Geologie Geologie
• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware
• Geowissenschaften Geologie Vulkanologie, Seismologie

Inhaltsverzeichnis

1. Introduction
2. 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

Über Autor(innen)

Sadhukhan, Bikash
Bikash Sadhukhan is an accomplished academician and researcher in the field of Computer Science and Engineering (CSE). With over 18 years of experience in academia, he has made significant contributions to both teaching and research. He has authored numerous publications in prestigious journals and conferences. His research interests include earthquake prediction, sentiment analysis, deep learning, and stock market prediction. The author is currently serving as an Assistant Professor in the Department of CSE at Techno International New Town (TINT), affiliated with the Maulana Abul Kalam Azad University of Technology (MAKAUT) and approved by the All-India Council for Technical Education (AICTE). He has been associated with TINT since July 2007 and has held various administrative roles, including Head of the Department for Computer Science and Engineering from February 2019 to June 2023.