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**Introduction**

Edge AI technology has been gaining momentum in recent years due to the growing demand for real-time data processing and decision-making in various applications including smart cities. Smart cities rely on the integration of Information and Communication Technologies (ICT) to enhance the quality of life for citizens, improve efficiency of services, and reduce environmental impact. Edge AI, which combines artificial intelligence (AI) algorithms with edge computing capabilities, has the potential to revolutionize smart city systems by enabling faster data processing, lower latency, and improved scalability.

**Table of Contents**

1.1 Introduction
1.2 Background of Study
1.3 Problem Statement
1.4 Objective of Study
1.5 Limitation of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Thesis
1.9 Definition of Terms

**Chapter 1: Introduction**

1.1 Introduction
1.2 Background of Study
1.3 Problem Statement
1.4 Objective of Study
1.5 Limitation of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Thesis
1.9 Definition of Terms

**Chapter 2: Literature Review**

2.1 Overview of Smart Cities
2.2 Edge Computing in Smart Cities
2.3 AI Technologies in Smart Cities
2.4 Edge AI Applications in Smart Cities
2.5 Challenges of Implementing Edge AI in Smart Cities
2.6 Case Studies of Edge AI in Smart City Projects
2.7 Best Practices for Deploying Edge AI in Smart Cities
2.8 Impact of Edge AI on Smart City Infrastructure
2.9 Future Trends in Edge AI for Smart Cities
2.10 Summary of Literature Review

**Chapter 3: Research Methodology**

3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Sampling Procedures
3.5 Ethical Considerations
3.6 Validity and Reliability
3.7 Limitations of the Research
3.8 Research Timeline

**Chapter 4: Discussion of Findings**

4.1 Data Analysis Results
4.2 Comparison with Existing Literature
4.3 Implications for Smart City Development
4.4 Recommendations for Stakeholders
4.5 Future Research Directions
4.6 Conclusion

**Chapter 5: Conclusion and Summary**

5.1 Summary of Findings
5.2 Conclusion
5.3 Contributions to Knowledge
5.4 Practical Implications
5.5 Recommendations for Future Research
5.6 Conclusion

**Thesis Overview on Edge AI for Smart Cities**

Edge AI technology is revolutionizing smart cities by enabling real-time data processing and decision-making. This thesis explores the potential of Edge AI in improving the efficiency and sustainability of smart city systems. The literature review discusses the current state of smart cities, edge computing, AI technologies, and applications of Edge AI in smart cities. The research methodology outlines the design, data collection methods, analysis techniques, and ethical considerations of the study. The discussion of findings presents the results of data analysis, implications for smart city development, and recommendations for stakeholders. The conclusion summarizes the key findings, contributions to knowledge, practical implications, and recommendations for future research. This thesis aims to contribute to the growing body of knowledge on Edge AI for smart cities and provide insights for policymakers, urban planners, and technology developers.

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