1. A Review on Integration of AI and IoT in Geotechnical Engineering
2. Enhancing Resilience of Geotechnical Structures with AI and IoT
3. AI-Based Soil Classification and Characterization: Techniques and Case Studies
4. Harnessing Artificial Intelligence Techniques for Prediction of Compaction Parameters of Soil 5. Application of Data-Driven Techniques for Prediction of Soil Water Characteristics Curve: A State-of- the-Art Review 6. AI-Driven Prediction Models for Geotechnical Failures: Models and Real-World Case Studies
7. AI and Machine Learning Approaches for Predicting Geotechnical Failures in Civil Infrastructure
8. Surrogate Modelling and Reliability Analysis for Complex Geotechnical Systems Using AI
9. Development and Application of an MR Model for Slope Stability Assessment: A Case Study on the Jorabat–Shillong Expressway
10. Identification of Landslide Susceptibility Areas in Pettimudi Hills Using Frequency Ratio and Logistic Regression Models
11. AI and IoT-Driven Prediction Models for Stone Column Performance under Liquefaction
12. Development of Mobile Application for Calculating the Bearing Capacity of a Pile
13. Sustainable Earthwork Practices through AI Optimization
14. Optimizing Earthwork Operations for Sustainable Infrastructure Using AI Techniques
15. Earthquakes in the Age of AI: Redefining Risk, Resilience, and Responsibility
16. Seismic Data Analysis for Tsunamigenic Earthquake Detection Using Soft Computing Techniques
17. Application of Non-Parametric Machine Learning Models in estimating Penetration Rate of Tunnel Boring Machines
18. Real-time Monitoring and Health Assessment of Pile Foundations Using IoT and AI Technologies