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3. 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, original scientific article Keywords: precision shooting, accuracy prediction model, augmented feedback, random forest Full text (file, 5,46 MB) This document has more files! More... |
4. Modelling the material resistance of wood. Part 3, Relative resistance in above- and in-ground situationsChristian Brischke, Miha Humar, Davor Kržišnik, Boštjan Lesar, 2021, original scientific article Keywords: biological durability, dose–response model, fungal decay, moisture dynamics, moisture performance, service life prediction, water uptake, water release, wetting ability Full text (file, 1,79 MB) This document has more files! More... |
5. Modelling the material resistance of wood. Part 2, Validation and optimization of the Meyer-Veltrup modelChristian Brischke, Miha Humar, Davor Kržišnik, Boštjan Lesar, 2021, original scientific article Keywords: biological durability, dose-response model, fungal decay, moisture dynamics, moisture performance, service life prediction, water uptake, water release, wetting ability Full text (file, 1,11 MB) This document has more files! More... |
6. Mapping the biotic degradation hazard of wood in EuropePhilip B. van Niekerk, Brendan N. Marais, Christian Brischke, Luisa M. S. Borges, Magdalena Kutnik, Jonas Niklewski, David Ansard, Miha Humar, Simon M. Cragg, Holger Militz, 2021, original scientific article Keywords: decay risk, exposure model, fungi, marine borers, service life prediction, termites Full text (file, 5,15 MB) This document has more files! More... |
7. Data assimilation for improved discharge estimates with the wflow_sbm model: a case study of the Overijsselse Vecht river (The Netherlands)Kristina Koronaci, 2022, master's thesis Keywords: civil engineering, master thesis, data assimilation, ensemble Kalman Filter, wflow_sbm model, discharge prediction, uncertainty, Vecht River, OpenDA Full text (file, 7,19 MB) |
8. To BAN or not to BANKristian Miok, Blaž Škrlj, Daniela Zaharie, Marko Robnik Šikonja, 2022, original scientific article Keywords: natural language processing, machine learning, transformer neural networks, Bayesian neural networks, BERT models, prediction uncertainty, reliability estimation, Monte Carlo dropout, Bayesian BERT, sentic computing, model calibration Full text (file, 3,06 MB) This document has more files! More... |
9. Extensive T1-weighted MRI preprocessing improves generalizability of deep brain age prediction modelsLara Dular, Franjo Pernuš, Žiga Špiclin, 2024, original scientific article Keywords: magnetic resonance imaging, brain age prediction, image preprocessing, deep model regression, comparative study, quantitative evaluation Full text (file, 4,29 MB) This document has more files! More... |