Unsupervised anomaly detection for underwater gliders using generative adversarial networks-Reference-Cited by-同舟云学术

Unsupervised anomaly detection for underwater gliders using generative adversarial networks

Published:2021-09 Issue: Volume:104 Page:104379
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Wu Peng^ORCID,Harris Catherine A.^ORCID,Salavasidis Georgios^ORCID,Lorenzo-Lopez Alvaro,Kamarudzaman Izzat,Phillips Alexander B.,Thomas Giles,Anderlini Enrico^ORCID

Funder

Lloyd's Register Foundation

Natural Environment Research Council

European Commission

Horizon 2020

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference47 articles.

1. Autonomous detection of the loss of a wing for underwater gliders;Anderlini,2020

2. An innovative marine growth detection system for underwater gliders;Anderlini;J. Ocean. Eng.,2021

3. A remote anomaly detection system for slocum underwater gliders;Anderlini;Ocean Eng.,2021

4. Identification of the dynamics of biofouled underwater gliders;Anderlini,2020

5. Glider inventory;BODC,2019

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