|
|
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, 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... |
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, 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... |
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, 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... |
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, izvirni znanstveni članek Ključne besede: decay risk, exposure model, fungi, marine borers, service life prediction, termites Celotno besedilo (datoteka, 5,15 MB) Gradivo ima več datotek! Več... |
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, magistrsko delo Ključne besede: civil engineering, master thesis, data assimilation, ensemble Kalman Filter, wflow_sbm model, discharge prediction, uncertainty, Vecht River, OpenDA Celotno besedilo (datoteka, 7,19 MB) |
8. To BAN or not to BANKristian Miok, Blaž Škrlj, Daniela Zaharie, Marko Robnik Šikonja, 2022, izvirni znanstveni članek Ključne besede: 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 Celotno besedilo (datoteka, 3,06 MB) Gradivo ima več datotek! Več... |
9. Extensive T1-weighted MRI preprocessing improves generalizability of deep brain age prediction modelsLara Dular, Franjo Pernuš, Žiga Špiclin, 2024, izvirni znanstveni članek Ključne besede: magnetic resonance imaging, brain age prediction, image preprocessing, deep model regression, comparative study, quantitative evaluation, brain age, MRI preprocessing, deep regression models, linear mixed effect models, dataset bias, transfer learning, reproducible research, UK Biobank Celotno besedilo (datoteka, 4,29 MB) Gradivo ima več datotek! Več... |