Supervisory Control and Data Acquisition (SCADA) systems play a significant role in
providing remote access, monitoring and control of critical infrastructures (CIs) which …

Power system failures or outages due to short-circuits or “faults” can result in long service
interruptions leading to significant socio-economic consequences. It is critical for electrical …

Event detection in electrical grids is a challenging problem for machine learning methods
due to spatiotemporally nonstationary systems and the inability to automate event labeling in …

Heart disease is a rapidly increasing disease that causes death worldwide. Therefore,
scientists around the globe start studying this issue from a different perspective to assure …

The emerging wide area monitoring systems (WAMS) have brought significant
improvements in electric grids' situational awareness. However, the newly introduced …

This study presents a novel adaptation of the Hoeffding Adaptive Tree (HAT) classifier with
an instance selection algorithm that detects and identifies cyber and non-cyber …

Real-time detection and mitigation of jamming attacks in 5G new radio (NR) is an urgent
need. Over the past decade, jamming detection has been studied by many researchers …

This paper reports on the use of online data stream classification algorithms to support
workload orchestration in vehicular edge computing environments. These algorithms can be …

With an increasing application of Phase Measurement Units in the smart grid, it is becoming
inevitable for PMUs to operate in severe conditions, which results in outliers and missing …

The methods for power system event detection using field-recorded data from Phasor
Measurement Units (PMUs) often require many labeled events, which can be costly or …