Applications of AI and IoT in Geotechnical Engineering for Sustainable Infrastructure

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