Memristors have emerged as promising candidates for multilevel data storage, in-memory processing, and neural networks since their intrinsic programmability of resistance states under applied stimuli ...

The study adheres to a reconstruction-based approach for anomaly detection, specifically building upon the Anomaly Transformer model. The proposed model leverages the concept of an Anomaly Transformer ...