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62. Probing the flavor structure of New Physics models with precision observablesAleks Smolkovič, 2021, doctoral dissertation Keywords: beyond the Standard Model, flavor physics, CP violation, optimized observables, dark matter, leptoquark, machine learning in particle physics Full text (file, 9,40 MB) |
63. Generative Design for Constructability improvements with BIM-Lean approachJosé Luis Rodríguez Hernández, 2021, master's thesis Keywords: Constructability, BIM, Lean, Generative Design, Machine Learning, Parametric Design, Rationalization, Non-Technical problems in construction Full text (file, 12,03 MB) |
64. 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, published scientific conference contribution Keywords: finite element modeling, cardiac ischemia, data mining, machine learning Full text (file, 1,35 MB) This document has more files! More... |
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66. Algorithmic music for therapyAlfredo Raglio, Paola Baiardi, Giuseppe Vizzari, Marcello Imbriani, Mauro Castelli, Sara Manzoni, Francisco Vico, Luca Manzoni, 2021, original scientific article Keywords: algorithmic music, human/machine composition, Melomics-Health, relaxation, therapeutic music listening Full text (file, 326,44 KB) This document has more files! More... |
67. Predicting tree species based on the geometry and intensity of aerial laser scanning point cloud of treetopsNina Kranjec, Mihaela Triglav Čekada, Milan Kobal, 2021, original scientific article Keywords: lidar, intensity, the geometry of tree, tree species, machine learning, Lithuania, machine learning Full text (file, 3,65 MB) |
68. Comparison of treebased classification algorithms in mapping burned forest areasDilek Kucuk Matci, Resul Comert, Ugur Avdan, 2020, original scientific article Keywords: tree-based algorithm, machine learning, remote sensing, dupervised vlassification, Landsat Full text (file, 1,92 MB) |
69. 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, Mario Trifković, Ivan Kvasić, Erik Zupanič, Igor Muševič, 2019, original scientific article Keywords: artificial nose, e-nose, electronic nose, detection of explosives, chemical selectivity of e-nose, arrays of sensors, machine learning and sensor arrays Full text (file, 2,30 MB) This document has more files! More... |
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