IEEE

A Hybrid Machine Learning Approach for Predicting Power Transformer Failures Using Internet of Things-Based Monitoring and Explainable Artificial Intelligence

Abstract: Power transformers are critical components in ensuring the continuous and stable operation of power systems. Failures in these units can lead to significant power outages and costly downtime ...
IEEE

Intelligent Machine Learning Framework for Proactive Detection and Adaptive Mitigation of Phishing and Sniffing Attacks

Abstract: With the rapid growth of cyberattacks, proactive defense mechanisms leveraging Python and machine learning are crucial. This paper presents a consolidated approach to four cybersecurity ...