31. Automatic building footprint extraction from UAV images using neural networksZoran Kokeza, Miroslav Vujasinović, Miro Govedarica, Brankica Milojević, Gordana Jakovljević, 2020, izvirni znanstveni članek Ključne besede: neural network, deep learning, classification, Structure from Motion, unmanned aerial vehicles, building footprint extraction Celotno besedilo (datoteka, 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, izvirni znanstveni članek Ključne besede: natural deep eutectic solvents, choline chloride, extraction, phenolic compounds, chokeberries (Aronia melanocarpa), HPLC/DAD, green solvents, ultrasound-assisted extraction, HPLC Celotno besedilo (datoteka, 1,53 MB) Gradivo ima več datotek! Več... |
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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, pregledni znanstveni članek Ključne besede: 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 Celotno besedilo (datoteka, 1,05 MB) Gradivo ima več datotek! Več... |
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, izvirni znanstveni članek Ključne besede: polymer composites, acoustic emission, feature extraction, convolutional autoencoders, deep features Celotno besedilo (datoteka, 1,21 MB) Gradivo ima več datotek! Več... |
39. Improved Mammography Classification using Data Augmentation and Transfer LearningANA PETERKA, 2022, diplomsko delo Ključne besede: Artificial Intelligence, Machine Learning, Deep Learning, Convolutional Neural Networks, Generative Adversarial Networks, Mammography, Cancer Detection. Celotno besedilo (datoteka, 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, objavljeni znanstveni prispevek na konferenci Ključne besede: deep learning, multi-temporal classification, sequence data, crop classification, Sentinel-2 Celotno besedilo (povezava drugam) |