1. Introduction

2. Conventional Approach

3. Machine Learning Approach  
3.1. Model Architecture  
3.2. Training the Model  
3.3. Evaluating the Model  

4. Applying the Trained Model on DES Data and Comparing with the Traditional Method

5. Computer Resource Utilization

6. Conclusion