Abstract: Accurate identification of users within the low-voltage distribution area directly impacts grid loss calculations, fault detection, and electricity supply safety. With the rise of smart grid ...
When conditions turn pitch black, pilots are trained to trust their instrument panels, not their instincts. That’s because under inclement conditions where visibility is severely compromised, spatial ...
Abstract: Anomaly detection (AD) is typically regarded as an unsupervised learning task, where the training data either do not contain any anomalous samples or contain only a few unlabeled anomalous ...
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