A dataset for anomaly detection and localization in the 5-GHz ISM band was developed. The normal signals consisted of real-world Wi-Fi signals, whereas the anomalous signals were artificially added to ...
The proposed industrial anomaly detection model is computationally efficient, memory-friendly, and also suitable for low-light conditions, common in manufacturing environments, making it well-suited ...
Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...
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