Anomaly detection is a critical technique for ensuring the safe operation of UAVs. However, traditional methods that rely on unimodal sensor data and neural networks often fail to capture the ...

School of Integrated Circuits, Shandong University, Jinan 250100, P. R. China Shenzhen Institute of Shandong University, Shenzhen 518057, P. R. China School of Integrated Circuits, Shandong University ...

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We propose GTAE-IDS, a novel unsupervised packet-based graph neural network framework aimed at early and precise anomaly detection in network traffic. GTAE-IDS employs graph embeddings to capture and ...

In order to find odd traffic patterns, I also used anomaly detection techniques, which improved my technical proficiency with data processing and visualization tools as well as my practical ...

For clinical aid that can be applied to any patient, an automatic cross-patient epilepsy seizure detection algorithm is of great significance. Spiking neural networks (SNNs) are modeled on biological ...

4. Fault Detection Model Development using AI Faults using sensor data can be detected by artificial intelligence techniques such as machine learning and neural networks. These techniques involve the ...