Implementation of an AI Model Using PyTorch for Sound Position Detection on a Table"

1. Introduction 1.1 Background and Motivation 1.2 Objective of the Study 1.3 Research Questions 1.4 Structure of the Paper 2. Literature Review 2.1 Previous Work on Sound Detection 2.2 AI Models for Position Detection 2.3 PyTorch in AI Research 3. Theoretical Framework 3.1 Fundamentals of Sound Detection 3.2 Machine Learning Principles 3.3 Introduction to PyTorch 4. Methodology 4.1 Data Collection Procedures 4.2 Model Development Process 4.3 Training and Testing Strategy 4.4 Evaluation Metrics 5. Implementation 5.1 Setting Up the Environment 5.2 Building the AI Model 5.3 Integration of PyTorch Components 5.4 Code Optimization Techniques 6. Results and Discussion 6.1 Model Performance Analysis 6.2 Comparison with Other Approaches 6.3 Interpretation of Results 7. Challenges and Limitations 7.1 Technical Challenges 7.2 Data-Related Limitations 7.3 Limitations of PyTorch 8. Conclusion and Future Work 8.1 Summary of Findings 8.2 Implications for Future Research 8.3 Possible Extensions and Improvements