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? 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.

Autoren/Hrsg.

Sadhukhan, Bikash

Fachgebiete

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

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.