Application of Ensemble Learning Techniques to Forecast Long-Term Deflection in Commercial Building Slabs

1. Introduction 1.1 Background of the Study 1.2 Problem Statement 1.3 Objectives of the Study 1.4 Research Questions 1.5 Structure of the Thesis 2. Literature Review 2.1 Overview of Ensemble Learning 2.2 Existing Deflection Prediction Methods 2.3 Comparison of Modelling Techniques 2.4 Knowledge Gaps Identified 2.5 Summary of Key Findings 3. Methodology 3.1 Research Design 3.2 Data Collection Process 3.3 Data Preprocessing Techniques 3.4 Ensemble Model Selection Criteria 3.5 Evaluation Metrics 4. Data Analysis 4.1 Initial Data Exploration 4.2 Feature Selection Methods 4.3 Construction of Ensemble Models 4.4 Model Tuning and Optimization 4.5 Validation of Results 5. Results 5.1 Comparison of Ensemble Models 5.2 Long-term Deflection Forecasting 5.3 Statistical Analysis of Predictions 5.4 Performance Evaluation 5.5 Discussion of Findings 6. Discussion 6.1 Implications for Practitioners 6.2 Limitations of the Study 6.3 Comparisons with Previous Research 6.4 Theoretical Contributions 6.5 Recommendations for Future Research 7. Case Study 7.1 Description of Selected Buildings 7.2 Application of Ensemble Techniques 7.3 Results and Interpretation 7.4 Lessons Learned 7.5 Implications for Building Safety 8. Conclusion 8.1 Summary of Research Findings 8.2 Contributions to the Field 8.3 Practical Applications 8.4 Areas for Further Study 8.5 Final Thoughts