1. Introduction 1.1 Background and Context 1.2 Objective of the Study 1.3 Research Questions 1.4 Structure of the Thesis 2. Literature Review 2.1 Autonomous Mechatronic Systems 2.2 Energy Efficiency Concepts 2.3 Artificial Intelligence Techniques 2.4 Previous Research and Gaps 3. Methodology 3.1 Research Design 3.2 Data Collection Methods 3.3 Analytical Techniques Used 4. AI Techniques in Mechatronic Systems 4.1 Machine Learning Algorithms 4.2 Neural Networks Applications 4.3 Optimization through AI 5. Energy Efficiency Parameters 5.1 Energy Consumption Metrics 5.2 Factors Affecting Efficiency 5.3 Measurement and Analysis 6. Proposed Optimization Model 6.1 Model Design and Development 6.2 Implementation Strategies 6.3 Testing and Validation 7. Case Studies and Applications 7.1 Real-World Implementation Cases 7.2 Comparative Analysis of Results 7.3 Lessons Learned 8. Conclusion and Future Work 8.1 Summary of Findings 8.2 Implications for Industry 8.3 Recommendations for Future Research
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