31. Automatic building footprint extraction from UAV images using neural networksZoran Kokeza, Miroslav Vujasinović, Miro Govedarica, Brankica Milojević, Gordana Jakovljević, 2020, original scientific article Keywords: neural network, deep learning, classification, Structure from Motion, unmanned aerial vehicles, building footprint extraction Full text (file, 2,89 MB) |
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34. Choline chloride based natural deep eutectic solvents as extraction media for extracting phenolic compounds from chokeberry (Aronia melanocarpa)Maša Islamčević Razboršek, Milena Ivanović, Peter Krajnc, Mitja Kolar, 2020, original scientific article Keywords: natural deep eutectic solvents, choline chloride, extraction, phenolic compounds, chokeberries (Aronia melanocarpa), HPLC/DAD, green solvents, ultrasound-assisted extraction, HPLC Full text (file, 1,53 MB) This document has more files! More... |
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37. Innovative extraction techniques using deep eutectic solvents and analytical methods for the isolation and characterization of natural bioactive compounds from plant materialMilena Ivanović, Maša Islamčević Razboršek, Mitja Kolar, 2020, review article Keywords: bioactive compounds, plant material, analytical methods, deep eutectic solvents, DES, natural deep eutectic solvents, NADES, innovative extraction techniques, ultrasound-assisted extraction, UAE, microwave-assisted extraction, MAE Full text (file, 1,05 MB) This document has more files! More... |
38. 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 Full text (file, 1,21 MB) This document has more files! More... |
39. Improved Mammography Classification using Data Augmentation and Transfer LearningANA PETERKA, 2022, undergraduate thesis Keywords: Artificial Intelligence, Machine Learning, Deep Learning, Convolutional Neural Networks, Generative Adversarial Networks, Mammography, Cancer Detection. Full text (file, 1,02 MB) |
40. Application of temporal convolutional neural network for the classification of crops on Sentinel-2 time seriesMatej Račič, Krištof Oštir, Devis Peressutti, Anže Zupanc, Luka Čehovin Zajc, 2020, published scientific conference contribution Keywords: deep learning, multi-temporal classification, sequence data, crop classification, Sentinel-2 Full text (outside link) |