1. Linear and neural network-based models for short-term heat load forecastingPrimož Potočnik, Ervin Strmčnik, Edvard Govekar, 2015, original scientific article Keywords: district heating, heat load forecasting, feature extraction, stepwise regression, autoregressive model, neural networks
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2. Co-registration of tree-dimensional building models with image features from infrared video sequencesJanja Avbelj, 2010, undergraduate thesis Keywords: graduation thesis, geodesy, 3d building model, infrared radiation, image processing, image registration, feature extraction, image sequences, matching
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3. Weighted cluster ensemble based on partition relevance analysis with reduction stepNejc Ilc, 2020, original scientific article Keywords: cluster analysis, cluster validity index, dimensionality reduction, ensemble learning, feature extraction, feature selection, gene expression, weighted ensemble
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4. Development of a real-time motor-imagery-based EEG brain-machine interfaceGal Gorjup, Rok Vrabič, Stoyan Petrov Stoyanov, Morten Østergaard Andersen, Poramate Manoonpong, 2018, published scientific conference contribution Keywords: electroencephalography, brain-machine interface, brain-computer interface, motor imagery, digital filtering, feature extraction, classification
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5. Extraction of visible boundaries for cadastral mapping based on UAV imageryBujar Fetai, Krištof Oštir, Mojca Kosmatin Fras, Anka Lisec, 2019, original scientific article Keywords: cadastre, land parcel, land plot, land cadastre, cadastral boundaries, cadastral maps, UAV, image processing, image segmentation, feature extraction, object extraction
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6. Deep feature extraction based on AE signals for the characterization of loaded carbon fiber epoxy and glass fiber epoxy compositesPrimož Potočnik, Martin Misson, Roman Šturm, Edvard Govekar, Tomaž Kek, 2022, original scientific article Keywords: polymer composites, acoustic emission, feature extraction, convolutional autoencoders, deep features
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7. Characterization of biocomposites and glass fiber epoxy composites based on acoustic emission signals, deep feature extraction, and machine learningTomaž Kek, Primož Potočnik, Martin Misson, Zoran Bergant, Mario Sorgente, Edvard Govekar, Roman Šturm, 2022, original scientific article Keywords: polymer composites, biocomposites, GFE composites, acoustic emission, deep feature extraction, convolutional autoencoder, machine learning, neural networks
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