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112. 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) |
113. 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) |
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115. 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... |
116. Automatic segmentation of ethnomusicological field recordingsMatija Marolt, Ciril Bohak, Alenka Kavčič, Matevž Pesek, 2019, izvirni znanstveni članek Ključne besede: audio segmentation, field recordings, deep learning, music information retrieval Celotno besedilo (datoteka, 1,12 MB) Gradivo ima več datotek! Več... |
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118. Hidden Markov model-based smart annotation for benchmark cyclic activity recognition database using wearablesChristine F. Martindale, Sebastijan Šprager, Björn M. Eskofier, 2019, izvirni znanstveni članek Ključne besede: activity recognition, benchmark database, gait analysis, inertial measurement unit, gait phases, cyclic activities, home monitoring, smart annotation, semi-supervised learning Celotno besedilo (datoteka, 1,80 MB) Gradivo ima več datotek! Več... |
119. 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) |
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