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

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

Aquaculture plays a significant role in both economic development and food production. Maintaining an ecological environment with good water quality is essential to ensure the production efficiency and quality of aquaculture. Effective management of water quality can prevent abnormal conditions and...

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Bibliographic Details
Main Authors: Petkovski Aleksandar, Shehu Visar
Format: Article
Language:English
Published: Sciendo 2023-06-01
Series:SEEU Review
Subjects:
anomaly detection
deep learning
aquaculture
lstm-ae
autoencoder
variational autoencoder
sr-cnn
Online Access:https://doi.org/10.2478/seeur-2023-0030

Internet

https://doi.org/10.2478/seeur-2023-0030

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