41. Automatic spiral analysis for objective assessment of motor symptoms in Parkinson's diseaseMevludin Memedi, Aleksander Sadikov, Vida Groznik, Jure Žabkar, Martin Možina, Filip Bergquist, Anders Johansson, Dietrich Haubenberger, Dag Nyholm, 2015, izvirni znanstveni članek Ključne besede: digital spiral analysis, Parkinson's disease, bradykinesia, dyskinesia, remote monitoring, machine learning, motor
fluctuations, objective measures, time series analysis, visualization Celotno besedilo (datoteka, 708,49 KB) Gradivo ima več datotek! Več... |
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44. Probing the flavor structure of New Physics models with precision observablesAleks Smolkovič, 2021, doktorska disertacija Ključne besede: beyond the Standard Model, flavor physics, CP violation, optimized observables, dark matter, leptoquark, machine learning in particle physics Celotno besedilo (datoteka, 9,40 MB) |
45. Generative Design for Constructability improvements with BIM-Lean approachJosé Luis Rodríguez Hernández, 2021, magistrsko delo Ključne besede: Constructability, BIM, Lean, Generative Design, Machine Learning, Parametric Design, Rationalization, Non-Technical problems in construction Celotno besedilo (datoteka, 12,03 MB) |
46. Finite element modelling of cardiac ischemia and data mining application for ischemic detection and localizationSmiljana Đorović, Marko Robnik Šikonja, Miloš D. Radović, Bojana Anđelković Ćirković, Nenad Filipović, 2018, objavljeni znanstveni prispevek na konferenci Ključne besede: finite element modeling, cardiac ischemia, data mining, machine learning Celotno besedilo (datoteka, 1,35 MB) Gradivo ima več datotek! Več... |
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48. Predicting tree species based on the geometry and intensity of aerial laser scanning point cloud of treetopsNina Kranjec, Mihaela Triglav Čekada, Milan Kobal, 2021, izvirni znanstveni članek Ključne besede: lidar, intensity, the geometry of tree, tree species, machine learning, Lithuania, machine learning Celotno besedilo (datoteka, 3,65 MB) |
49. Comparison of treebased classification algorithms in mapping burned forest areasDilek Kucuk Matci, Resul Comert, Ugur Avdan, 2020, izvirni znanstveni članek Ključne besede: tree-based algorithm, machine learning, remote sensing, dupervised vlassification, Landsat Celotno besedilo (datoteka, 1,92 MB) |
50. Improving the chemical selectivity of an electronic nose to TNT, DNT and RDX using machine learningAnton Gradišek, Marion van Midden, Matija Koterle, Vid Prezelj, Drago Strle, Bogdan Štefane, Helena Brodnik Žugelj, Mario Trifković, Ivan Kvasić, Erik Zupanič, Igor Muševič, 2019, izvirni znanstveni članek Ključne besede: artificial nose, e-nose, electronic nose, detection of explosives, chemical selectivity of e-nose, arrays of sensors, machine learning and sensor arrays Celotno besedilo (datoteka, 2,30 MB) Gradivo ima več datotek! Več... |