IEEE

Accurate Identification of Transformer Faults From Dissolved Gas Data Using Recursive Feature Elimination Method

Abstract: Dissolved gas analysis (DGA) of insulating oils is one of the most popular methods to detect incipient faults in power transformers. However, appropriate feature selection is crucial for ...
IEEE

Improving Network Intrusion Detection Performance : An Empirical Evaluation Using Extreme Gradient Boosting (XGBoost) with Recursive Feature Elimination

Abstract: In cybersecurity, Network Intrusion Detection Systems (NIDS) are essential for identifying and preventing malicious activity within computer networks. Machine learning algorithms have been ...