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  • Unsupervised marine vessel trajectory prediction using LSTM network and wild bootstrapping techniques
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Unsupervised marine vessel trajectory prediction using LSTM network and wild bootstrapping techniques

Fuente: Redalyc
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Dettagli Bibliografici
Autore principale: Julius Venskus
Natura: Artículo científico
Lingua:en
Pubblicazione: Vilniaus Universitetas 2021
Soggetti:
Matemáticas
autoencoder
wild bootstrap
joint supervision
LSTM prediction region learning
Unsupervised traffic anomaly prediction
Accesso online:
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Accesso online

https://www.redalyc.org/articulo.oa?id=694173200010
https://www.redalyc.org/journal/6941/694173200010/
https://www.redalyc.org/journal/6941/694173200010/html/
https://www.redalyc.org/journal/6941/694173200010/694173200010.epub
https://www.redalyc.org/journal/6941/694173200010/movil
https://doi.org/10.15388/namc.2021.26.23056

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