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).
![[thumbnail of accepted_version.pdf]](https://discovery.ucl.ac.uk/style/images/fileicons/text.png) |
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accepted_version.pdf - Accepted Version Access restricted to UCL open access staff until 8 July 2022. Download (20MB) |
| 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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