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

Data publikacji: 28 cze 2023

Zakres stron: 1 - 16

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

Słowa kluczowe

Anomaly Detection, Deep Learning, Aquaculture, LSTM-AE, Autoencoder, Variational Autoencoder, SR-CNN

© 2023 Aleksandar Petkovski et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.