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Anomaly Detection on Univariate Sensing Time Series Data for Smart Aquaculture Using Deep Learning Cover

Anomaly Detection on Univariate Sensing Time Series Data for Smart Aquaculture Using Deep Learning

SEEU Review
Volume 18 (2023): Issue 1 (June 2023)
By:  and    
Open Access
|Jun 2023
Authors

Authors

Aleksandar Petkovski

a.petkovski@seeu.edu.mk

Ph.D. candidate, Faculty of Contemporary Sciences and Technologies, South East European University, North Macedonia

Visar Shehu

v.shehu@seeu.edu.mk

Full Professor, Faculty of Contemporary Sciences and Technologies, South East European University, North Macedonia
DOI: https://doi.org/10.2478/seeur-2023-0030 | Journal eISSN: 1857-8462
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Language: English
Page range: 1 - 16
Published on: Jun 28, 2023
Published by: South East European University
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Anomaly Detection,
Deep Learning,
Aquaculture,
LSTM-AE,
Autoencoder,
Variational Autoencoder,
SR-CNN
Related subjects:
General interest

© 2023 Aleksandar Petkovski, Visar Shehu, published by South East European University
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 18 (2023): Issue 1 (June 2023)
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