Optimizing IoT-Driven Smart Cities with the Dynamic Leader Sibha Algorithm: A Novel Approach to Feature Selection and Hyperparameter Tuning

Key Points

• This research aims to enhance the analysis of data generated by IoT in urban environments.
• Utilized the dynamic leader Sibha algorithm
• Focused on feature selection and hyperparameter tuning
• Applied analysis on high-dimensional heterogeneous data
• Identified key features that improve data analysis
• Enhanced hyperparameter tuning for better model performance
• Provided insights into managing data within smart cities