Daniel Ramotsoela

Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction

The renewable energy role in the global energy Transformations

Practical Challenges of Attack Detection in Microgrids Using Machine Learning

A Survey of Anomaly Detection in Industrial Wireless Sensor Networks with Critical Water System Infrastructure as a Case Study