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63. Analysis of unsupervised learning approach for classification of vehicle fuel type using psychoacoustic featuresMarko Milivojčević, Dejan Čirić, Jurij Prezelj, Jure Murovec, 2024, izvirni znanstveni članek Ključne besede: acoustic based acquisition system, acoustic analysis, internal combustion engines, self-organizing maps, psychoacoustic features, unsupervised classification Celotno besedilo (datoteka, 10,02 MB) Gradivo ima več datotek! Več... |
64. CLUSPLUSMatej Petković, Jurica Levatić, Dragi Kocev, Martin Breskvar, Sašo Džeroski, 2023, izvirni znanstveni članek Ključne besede: machine learning, multi-target regression, multi-label classification, decision trees, feature importance, semi-supervised learning, random forests Celotno besedilo (datoteka, 563,19 KB) Gradivo ima več datotek! Več... |
65. Precise PMU-based localization and classification of short-circuit faults in power distribution systemsDenis Sodin, Miha Smolnikar, Urban Rudež, Andrej Čampa, 2023, izvirni znanstveni članek Ključne besede: fault classification, fault localization, phasor measurement unit, PMU, location awareness, circuit faults, impedance, fault location, monitoring, power system reliability Celotno besedilo (datoteka, 3,53 MB) Gradivo ima več datotek! Več... |
66. Combining physical and virtual worlds for motor-cognitive training interventionsLuka Šlosar, Claudia Voelcker-Rehage, Armin Paravlić, Ensar Abazović, Eling D. de Bruin, Uroš Marušič, 2022, pregledni znanstveni članek Ključne besede: extended reality, virtual reality, augmented reality, mixed reality, exergaming, taxonomy, classification Celotno besedilo (datoteka, 505,31 KB) Gradivo ima več datotek! Več... |
67. Search for Higgs boson pair production with the ATLAS detector at the LHCJakob Novak, 2024, doktorsko delo/naloga Ključne besede: ATLAS, machine learning, Higgs pair production, single-lepton, CERN, neural networks, Higgs self-interaction, two b-jets, LHC Run 2, classification problem, BSM scalar resonance, missing transverse momentum Celotno besedilo (datoteka, 21,47 MB) |