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Conference Sep 2026

Few-Shot Adaptation for Anomalous Sound Detection at Low False-Positive Rate

Reliable fault detection is crucial for industrial machinery in large-scale facilities, where unexpected failures can cause costly downtime and production interruptions. Although acoustic monitoring provides a scalable solution for machine condition monitoring, its deployment is often constrained by high false-positive...

Simone Lugani, C. Pichler, H. Wegleiter et al. · 0 citations
#machine learning Preprint Oct 2026

RepTC: Representation-Aware Optimization for Efficient Traffic Classification on Edge IoT Devices

Traffic classification (TC) is crucial to secure Internet of Things (IoT) networks, whose edge nodes often operate under privacy, bandwidth, and energy constraints. Yet, encrypted payloads and limited computing power make accurate, real-time TC a challenging task. Existing learning-based TC approaches often fix the inp...

Adel Chehade, Edoardo Ragusa, P. Gastaldo et al. · 0 citations

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