Can Artificial Intelligence Aid in Forecasting Earthquakes?

1: Introduction

1.1 Formation of Earthquakes

1.2 Seismic precursors

1.3 Nonseismic precursors

1.4 Complexity, Chaos and Predictability of Earthquakes

1.5 Earthquake Science

1.6 Earthquake forecasting methods

1.7 Role of artificial intelligence in earthquake forecasting

2: Earthquake Early Warning systems

2.1 Introduction to Earthquake Early Warning Systems

2.2 Technologies and Methodologies for Earthquake Early Warning

2.3 Case Studies of Effective Early Warning Systems

2.4 Role of Artificial Intelligence in Earthquake Early Warning

3: Evolution of Earthquake Forecasting Research

3.1 Research Based on Earthquake Precursors

3.2 Research Based on Historical Seismic Data Analysis

4: Data Used in Earthquake Prediction

4.1 Seismic data

4.2 GPS data

4.3 Satellite Imagery

4.4 Distributed Acoustic Sensing Technology

4.5 Other types of data

5: AI Techniques for Earthquake Prediction

5.1 Computational intelligence-based approach

5.2 Rule-based approaches

5.3 Machine learning approaches

5.4 Deep learning approaches

5.5 Explainable Artificial Intelligence

5.6 Generative AI

6: Application of AI Techniques for Earthquake Forecasting

6.1 Computational intelligence-based approach

6.2 Rule-based approaches

6.3 Machine learning approaches

6.4 Deep learning approaches

6.5 Explainable Artificial Intelligence

6.6 Generative AI

7: Advantages and Limitations of AI-Based Earthquake Prediction

7.1 Advantages of AI-based earthquake prediction

7.2 Limitations of AI-based earthquake prediction

7.3 Challenges and Future Directions

8: Conclusions