Semi-Supervised Learned Autoencoder for Classification of Events in Distributed Fibre Acoustic Sensors

The global market for infrastructure security systems based on distributed acoustic sensors is rapidly expanding, driven by the need for timely detection and prevention of potential threats. However, deploying these systems is challenging due to the high costs associated with dataset creation. Addit...

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Bibliographic Details
Main Authors: Artem Kozmin, Oleg Kalashev, Alexey Chernenko, Alexey Redyuk
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Sensors
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Online Access:https://www.mdpi.com/1424-8220/25/12/3730
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