91. Modelling of the electrically excited synchronous machine with the rotary transformer design influenceRoman Manko, Mario Vukotić, Danilo Makuc, Danijel Vončina, Damijan Miljavec, Selma Čorović, 2022, izvirni znanstveni članek Ključne besede: electrically excited synchronous machine, wireless power transfer, rotary transformer Celotno besedilo (datoteka, 5,67 MB) Gradivo ima več datotek! Več... |
92. Exact maximum clique algorithm for different graph types using machine learningKristjan Reba, Matej Guid, Kati Rozman, Dušanka Janežič, Janez Konc, 2022, izvirni znanstveni članek Ključne besede: maximum clique, protein graphs, machine learning, ProBiS Celotno besedilo (datoteka, 2,23 MB) Gradivo ima več datotek! Več... |
93. Analysis of floating objects based on non-intrusive measuring methods and machine learningMateja Škerjanec, Klemen Kregar, Gašper Štebe, Gašper Rak, 2022, izvirni znanstveni članek Ključne besede: floating objects, laser scanning, machine learning, volume estimation Celotno besedilo (datoteka, 2,13 MB) Gradivo ima več datotek! Več... |
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96. A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathyTim Smole, Bojan Žunkovič, Matej Pičulin, Enja Kokalj, Marko Robnik Šikonja, Matjaž Kukar, Dimitrios I. Fotiadis, Vasileios C. Pezoulas, Nikolaos S. Tachos, Fausto Barlocco, Francesco Mazzarotto, Dejana Popović, Lars S. Maier, Lazar Velicki, Guy A. MacGowan, Iacopo Olivotto, Nenad Filipović, Djordje G. Jakovljević, Zoran Bosnić, 2021, izvirni znanstveni članek Ključne besede: hypertrophic cardiomyopathy, risk stratification, machine learning, artificial intelligence Celotno besedilo (datoteka, 4,11 MB) Gradivo ima več datotek! Več... |
97. Machine learning based nominal root stress calculation model for gears with a progressive curved path of contactUroš Urbas, Damijan Zorko, Nikola Vukašinović, 2021, izvirni znanstveni članek Ključne besede: machine learning, nominal root stress, gears, Finite Element Method, FEM, random forest, AdaBoost Celotno besedilo (datoteka, 2,45 MB) Gradivo ima več datotek! Več... |
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99. 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, izvirni znanstveni članek Ključne besede: polymer composites, biocomposites, GFE composites, acoustic emission, deep feature extraction, convolutional autoencoder, machine learning, neural networks Celotno besedilo (datoteka, 1,45 MB) Gradivo ima več datotek! Več... |
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