1. Extension of REBMIX algorithm to von Mises parametric family for modeling joint distribution of wind speed and directionX. W. Ye, P. S. Xi, Marko Nagode, 2019, izvirni znanstveni članek Ključne besede: structural health monitoring, wind field characteristics, joint probability density function, mixture estimation, REBMIX algorithm Celotno besedilo (datoteka, 2,59 MB) Gradivo ima več datotek! Več... |
2. An empirical analysis of the effects of student work and academic performance on the probability of employmentTjaša Bartolj, Sašo Polanec, 2021, izvirni znanstveni članek Ključne besede: education, employment, student work, labour market, student work experience, academic performance, probability of employment, propensity score matching Celotno besedilo (povezava drugam) Gradivo ima več datotek! Več... |
3. Active learning and novel model calibration measurements for automated visual inspection in manufacturingJože Martin Rožanec, Luka Bizjak, Elena Trajkova, Patrik Zajec, Jelle Keizer, Blaž Fortuna, Dunja Mladenić, 2024, izvirni znanstveni članek Ključne besede: active learning, smart manufacturing, probability calibration, artificial intelligence, machine learning, automated visual inspection Celotno besedilo (datoteka, 1,47 MB) Gradivo ima več datotek! Več... |
4. The necessity for multi-spectral simulations of the indoor non-visual luminous environment - a simplified annual approachJaka Potočnik, Mitja Košir, 2023, izvirni znanstveni članek Ključne besede: civil engineering, daylighting, non-visual daylighting, buildings, multi-spectral simulations, photopic illuminance, daylight glare probability Celotno besedilo (datoteka, 13,42 MB) Gradivo ima več datotek! Več... |
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7. QFD with statistical ranking – a hydropower turbine case studyLidija Rihar, Marjan Jenko, 2024, izvirni znanstveni članek Ključne besede: hydropower turbine maintenance, parameter probability density, predictive analysis, QFD, QFD SR, sensitivity analysis Celotno besedilo (datoteka, 938,51 KB) Gradivo ima več datotek! Več... |
8. Practical aspects of developing and validating corporate probability of default model and the use of machine learningAljoša Ortl, 2016, magistrsko delo Ključne besede: risk, probability, models, development, qualitative analysis, quantitative analysis, regression analysis, research, analysis Celotno besedilo (povezava drugam) |
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