Abstract: Electroencephalography (EEG) signals may be severely affected by noise originated from various sources due to their low amplitude nature, specially if they are collected from scalp sensors.
AI and Machine Learning can predict transformer faults by analyzing dissolved gas data, thermal patterns, and vibration ...
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