Smart anomaly detection for Slocum underwater gliders with a variational autoencoder with long short-term memory networks-Reference-Cited by-同舟云学术

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Smart anomaly detection for Slocum underwater gliders with a variational autoencoder with long short-term memory networks

Published:2022-03 Issue: Volume:120 Page:103030
ISSN:0141-1187
Container-title:Applied Ocean Research
language:en
Short-container-title:Applied Ocean Research

Author:

Bedja-Johnson Zachary^ORCID,Wu Peng^ORCID,Grande Davide^ORCID,Anderlini Enrico^ORCID

Publisher

Elsevier BV

Subject

Ocean Engineering

Reference38 articles.

1. SNU Data Mining Center 2015-2 Special Lecture on IE Variational Autoencoder based Anomaly Detection using Reconstruction Probability;An,2015

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

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

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

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

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1. A novel model for the study of future maritime climate using artificial neural networks and Monte Carlo simulations under the context of climate change;Ocean Modelling;2024-08

2. An Hmm-Based On-Line Fault Detection and Diagnosis Model for Underwater Gliders;2024

3. A survey of research status on the environmental adaptation technologies for marine robots;Ocean Engineering;2023-10

4. General Anomaly Detection of Underwater Gliders Validated by Large-scale Deployment Datasets;OCEANS 2023 - MTS/IEEE U.S. Gulf Coast;2023-09-25

5. Remote anomaly detection for underwater gliders based on multi-feature fusion;Ocean Engineering;2023-09

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