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NiaNet: A framework for constructing Autoencoder architectures using nature-inspired algorithms
Autoencoder, an hourly glass-shaped deep neuralnetwork capable of learning data representation in a lower dimension, has performed well …
Sašo Pavlič, Iztok Fister Jr, Sašo Karakatič
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Predictive maintenance of pumping system bearings with evolved autoencoders
Industry 4.0 introduced the application of various remote sensing and intelligent or autonomous decision-making to the manufacturing …
Sašo Pavlič, Nicholas Young, Sašo Karakatič
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Recognizing the subject exposure from the EEG signals with artificial neural networks
The paper presents the analysis of Electroencephalography (EEG) brain waves from the Emotiv Insight device with machine learning, more …
Sašo Pavlič, Sašo Karakatič
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