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1. Introduction 1.1 Background and Motivation 1.2 Research Objectives 1.3 Structure of the Thesis 2. Understanding Smart City Infrastructures 2.1 Definition and Components 2.2 Current Interoperability Challenges 2.3 Importance of Cloud-Based Systems 3. AI-Driven Solutions in Technology 3.1 Overview of Artificial Intelligence 3.2 AI Applications in Cloud Computing 3.3 Role of AI in Interoperability 4. Enhancing Interoperability: Key Concepts 4.1 Types of Interoperability 4.2 Interoperability Standards 4.3 Key Challenges in Integration 5. AI Solutions for Cloud Interoperability 5.1 Machine Learning Algorithms 5.2 Automated Data Transformation 5.3 Semantic Web and Ontologies 6. Case Studies in Smart Cities 6.1 Case Study: City A 6.2 Case Study: City B 6.3 Comparative Analysis 7. Challenges and Considerations 7.1 Ethical and Privacy Concerns 7.2 Technical Limitations 7.3 Future Research Directions 8. Conclusion 8.1 Summary of Findings 8.2 Implications for Smart Cities 8.3 Final Thoughts and Recommendations
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