Few-Shot Classification with Meta-Learning for Urban Infrastructure Monitoring Using Distributed Acoustic Sensing

Few-Shot Classification with Meta-Learning for Urban Infrastructure Monitoring Using Distributed Acoustic Sensing

This paper studies an advanced machine learning method, specifically few-shot classification with meta-learning, applied to distributed acoustic sensing (DAS) data. The study contributes two key aspects: (i) an investigation of different pre-processing methods for DAS data and (ii) the implementatio...

Full description

Bibliographic Details
Main Authors: Huynh Van Luong, Nikos Deligiannis, Roman Wilhelm, Bernd Drapp
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Sensors
Subjects:
meta-learning
few-shot classification
distributed acoustic sensing
artificial intelligence
neural networks
Online Access:https://www.mdpi.com/1424-8220/24/1/49

Internet

https://www.mdpi.com/1424-8220/24/1/49

Similar Items