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
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware

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
"Dr. Bikash Sadhukhan is a distinguished academician and researcher in the domain of Computer Science and Engineering, currently serving as an Associate Professor at Amity School of Engineering and Technology, Amity University, Kolkata. With more than two decades of academic experience and over four years in academic leadership roles, he has made notable contributions to both teaching and research in emerging and interdisciplinary areas of computer science.
His research spans earthquake forecasting, sentiment analysis, stock market forecasting and intelligent healthcare systems. He has published extensively in internationally reputed, peer-reviewed journals indexed in SCIE, Scopus, and ESCI, and has presented his work at numerous IEEE and other prominent international conferences. Dr. Sadhukhan is also a recipient of a Gold Medal in M.Tech and has several patents and copyrights to his name. As a Senior Member of the IEEE, he is actively involved in curriculum design, faculty development, and institutional quality initiatives such as NAAC and NBA accreditation. He is also committed to fostering student innovation, having mentored winning teams in national hackathons and research initiatives. Dr. Sadhukhan's blend of academic rigor, research innovation, and institutional service positions him as a leader in advancing technology-driven education and applied AI research."