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Smart Anomaly Detection for Slocum Underwater Gliders with a Variational Autoencoder with Long Short-Term Memory Networks

Bedja-Johnson, Z; Wu, P; Grande, D; Anderlini, E; (2022) Smart Anomaly Detection for Slocum Underwater Gliders with a Variational Autoencoder with Long Short-Term Memory Networks. Applied Ocean Research (In press).

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Type: Article
Title: Smart Anomaly Detection for Slocum Underwater Gliders with a Variational Autoencoder with Long Short-Term Memory Networks
Publisher version: https://www.journals.elsevier.com/applied-ocean-re...
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/10141009
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