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Prediction of AI-generated art style preferences from film preferences : final project paper
Elena Nenadović, 2025, diplomsko delo

Ključne besede: movie preferences, AI art preferences, machine learning, regression analysis, correlational analysis
Objavljeno v RUP: 04.10.2025; Ogledov: 1208; Prenosov: 14
Celotno besedilo (2,14 MB)

Prediction of emotional responses and song preferences from user and song characteristics : final project paper
Kristina Ðukić, 2025, diplomsko delo

Ključne besede: music preferences, emotional responses, musical sophistication, harmonic complexity, regression analysis, machine learning
Objavljeno v RUP: 14.09.2025; Ogledov: 653; Prenosov: 15
Celotno besedilo (1,73 MB)

Drivers of electricity prices in industry and households in Slovenia, Croatia, Austria and Italy
Štefan Bojnec, Drago Papler, 2016, objavljeni povzetek znanstvenega prispevka na konferenci

Ključne besede: electricity, energy prices, taxes, statistical analysis, regression analysis, Slovenia, Croatia, Austria, Italy
Objavljeno v RUP: 08.08.2016; Ogledov: 4357; Prenosov: 86
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Experimental verification of an approximate technoque for damage identification in beams using nonlinear regression analysis of bending frequency changes
Elma Ekinovic, Vlatko Doleček, Slavko Dolinšek, Nedim Hodzic, 2010, izvirni znanstveni članek

Opis: This paper presents the experimental verification of an approximate technique for damage identification in beam-like structures, which is based on the use of bending frequency changes and nonlinear regression analysis. The proposed technique was explained in details in [7] so only few necessary steps are recalled here. The identification of damage location and its depth is performed by use of experimentally measured frequency changes and previously established regression relations between bending frequency changes and damage parameters. The experiments were performed on the intact and damaged beams. The damage in these experiments is made by saw cut as a narrow open notch perpendicular to the beam axis. The results of identification are promising taking into account inevitable modelling and measurement errors.
Ključne besede: damage identification, frequency changes, finite element analysis, nonlinear regression
Objavljeno v RUP: 15.10.2013; Ogledov: 4774; Prenosov: 95
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An aproximate technique for damage identification in beams using nonlinear regression analysis of bending frequency changes
Elma Ekinovic, Vlatko Doleček, Slavko Dolinšek, Nedim Hodzic, 2009, izvirni znanstveni članek

Opis: This paper addresses the problem of damage identification in beam-like structures on the base of bending frequency changes. The identification of damage location and its depth is performed by use of regression relations between changes in natural frequencies and damage parameters. Input data for establishing the regression relations are collected using numerical analysis (FEA) of the beam structure with and without damage. The damage is simulated as a narrow open notch perpendicular to the beam axis. The efficiency and limitations of the proposed technique are assessed through a series of damage scenarios.
Ključne besede: damage identification, finite element analysis, nonlinear regression
Objavljeno v RUP: 15.10.2013; Ogledov: 5025; Prenosov: 101
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