51. 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) |
52. 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) |
53. 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, 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... |
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55. Empirical modeling of liquefied nitrogen cooling impact during machining Inconel 718Matija Hriberšek, Lucijano Berus, Franci Pušavec, Simon Klančnik, 2020, izvirni znanstveni članek Ključne besede: cryogenic machining, cooling impact, Inconel 718, machine learning, adaptive neuro-fuzzy inference system, particle swarm optimization Celotno besedilo (datoteka, 2,36 MB) Gradivo ima več datotek! Več... |
56. Datasets for cognitive load inference using wearable sensors and psychological traitsMartin Gjoreski, Tine Kolenik, Timotej Knez, Mitja Luštrek, Matjaž Gams, Hristijan Gjoreski, Veljko Pejović, 2020, izvirni znanstveni članek Ključne besede: cognitive load, dataset, Affective Computing, machine learning, physiology, personality traits, sensor data Celotno besedilo (datoteka, 311,40 KB) Gradivo ima več datotek! Več... |
57. On the interpretability of machine learning models and experimental feature selection in case of multicollinear dataFranc Drobnič, Andrej Kos, Matevž Pustišek, 2020, izvirni znanstveni članek Ključne besede: interpretable machine learning, feature multicollinearity, random forests, feature selection, feature importance, greedy feature selection Celotno besedilo (datoteka, 1,52 MB) Gradivo ima več datotek! Več... |
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59. Machine learning-assisted non-destructive plasticizer identification and quantification in historical PVC objects based on IR spectroscopyTjaša Rijavec, David Ribar, Jernej Markelj, Matija Strlič, Irena Kralj Cigić, 2022 Ključne besede: PVC, chromatography, machine learning, classification, regression, spectroscopy, plasticizers, heritage science, preventive conservation Celotno besedilo (datoteka, 4,90 MB) Gradivo ima več datotek! Več... |
60. An architecture for sim-to-real and real-to-sim experimentation in robotic systemsRok Vrabič, Gašper Škulj, Andreja Malus, Dominik Kozjek, Luka Selak, Drago Bračun, Primož Podržaj, 2021, objavljeni znanstveni prispevek na konferenci Ključne besede: robotics, simulation, machine learning, reinforcement learning, digital twin Celotno besedilo (datoteka, 1,65 MB) Gradivo ima več datotek! Več... |