21. A Random Forest-based accuracy prediction model for augmented biofeedback in a precision shooting training systemJunqi Guo, Lan Yang, Anton Umek, Rongfang Bie, Sašo Tomažič, Anton Kos, 2020, izvirni znanstveni članek Ključne besede: precision shooting, accuracy prediction model, augmented feedback, random forest Celotno besedilo (datoteka, 5,46 MB) Gradivo ima več datotek! Več... |
22. Predicting the outdoor moisture performance of wood based on laboratory indicatorsLukas Emmerich, Christian Brischke, Marten Sievert, Manuel S. Schulz, Anne-Cathrin Jaeger, Arne Beulshausen, Miha Humar, 2020, izvirni znanstveni članek Ključne besede: absorption-desorption tests, EN 16818, material resistance, residual moisture content, service life prediction Celotno besedilo (datoteka, 3,79 MB) Gradivo ima več datotek! Več... |
23. Assessing velocity and directionality of uterine electrical activity for preterm birth prediction using EHG surface recordsFranc Jager, Ksenija Geršak, Paula Vouk, Žiga Pirnar, Andreja Trojner-Bregar, Miha Lučovnik, Ana Borovac, 2020, izvirni znanstveni članek Ključne besede: propagation of EHG waves, cross correlation, dummy intervals, contraction intervals, conduction velocity, preterm birth prediction, electrohysterogram, short-time cross-correlation, conduction velocity directionality Celotno besedilo (datoteka, 9,23 MB) Gradivo ima več datotek! Več... |
24. Body composition in international sprint swimmersMilivoj Dopsaj, Ilona Judita Zuoziene, Radoje Milić, Evgeni Cherepov, Vadim Erlikh, Nerijus Masiulis, Andrea di Nino, Janez Vodičar, 2020, izvirni znanstveni članek Ključne besede: sport, swimmers, sprint swimmers, body composition, result prediction, body fat, skeletal muscle mass Celotno besedilo (datoteka, 740,79 KB) Gradivo ima več datotek! Več... |
25. Machine learning strategy for soil nutrients prediction using spectroscopic methodJanez Trontelj, Olga Chambers, 2021, izvirni znanstveni članek Ključne besede: machine learning, nutrients prediction, soil spectra, soil analysis, soil category, precision farming Celotno besedilo (datoteka, 1,01 MB) Gradivo ima več datotek! Več... |
26. Modelling the material resistance of wood. Part 3, Relative resistance in above- and in-ground situationsChristian Brischke, Miha Humar, Davor Kržišnik, Boštjan Lesar, 2021, izvirni znanstveni članek Ključne besede: biological durability, dose–response model, fungal decay, moisture dynamics, moisture performance, service life prediction, water uptake, water release, wetting ability Celotno besedilo (datoteka, 1,79 MB) Gradivo ima več datotek! Več... |
27. Modelling the material resistance of wood. Part 2, Validation and optimization of the Meyer-Veltrup modelChristian Brischke, Miha Humar, Davor Kržišnik, Boštjan Lesar, 2021, izvirni znanstveni članek Ključne besede: biological durability, dose-response model, fungal decay, moisture dynamics, moisture performance, service life prediction, water uptake, water release, wetting ability Celotno besedilo (datoteka, 1,11 MB) Gradivo ima več datotek! Več... |
28. The predictive value of the aCL and anti-β2GPI at the time of acute deep vein thrombosis—a two-year prospective studyKatja Perdan-Pirkmajer, Polona Žigon, Anja Boc, Eva Podovšovnik, Saša Čučnik, Alenka Mavri, Žiga Rotar, Aleš Ambrožič, 2021, izvirni znanstveni članek Ključne besede: thrombosis, antiphospholipid syndrome, antiphospholipid antibodies, prediction Celotno besedilo (datoteka, 1,06 MB) Gradivo ima več datotek! Več... |
29. Organizing and analyzing data from the SHARE study with an application to age and sex differences in depressive symptomsLara Lusa, Marianne Huebner, 2021, izvirni znanstveni članek Ključne besede: statistical data, depression, initial data analysis, SHARE, data cleaning, prediction modelling, older adults, sex differences, Europe Celotno besedilo (datoteka, 1001,56 KB) Gradivo ima več datotek! Več... |
30. Forecasting the daily maximal and minimal temperatures from radiosonde measurements using neural networksGregor Skok, Doruntina Hoxha, Žiga Zaplotnik, 2021, izvirni znanstveni članek Ključne besede: machine learning, neural networks, weather forecasting, air temperature, climatology, radiosonde measurements, prediction, maximum temperature, minimum temperature, explainable AI Celotno besedilo (datoteka, 3,06 MB) Gradivo ima več datotek! Več... |