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1.
Most influential feature form for supervised learning in voltage sag source localization
Younes Mohammadi, Boštjan Polajžer, Roberto Chouhy Leborgne, Davood Khodadad, 2024, original scientific article

Keywords: voltage sag (dip), source localization, supervised and unsupervised learning, convolutional neural network, time-sample-based features
Published in DKUM: 23.08.2024; Views: 65; Downloads: 9
.pdf Full text (15,94 MB)

2.
NiaNetAD: Autoencoder architecture search for tabular anomaly detection powered by HPC
Sašo Pavlič, Sašo Karakatič, Iztok Fister, 2023, published scientific conference contribution

Keywords: predictive maintenance, autoencoder, anomaly detection, nature-inspired algorithms, optimization, high-performance computing, unsupervised learning
Published in DKUM: 26.01.2024; Views: 447; Downloads: 0
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