Repozitorij Univerze v Novi Gorici

Iskanje po repozitoriju
A+ | A- | Pomoč | SLO | ENG

Iskalni niz: išči po
išči po
išči po
išči po
* po starem in bolonjskem študiju

Opcije:
  Ponastavi


1 - 10 / 19
Na začetekNa prejšnjo stran12Na naslednjo stranNa konec
1.
Phase Portrait for High Fidelity Feature Extraction and Classification: A Surrogate Approach
Mohanachandran Nair Sindhu Swapna, 2020, izvirni znanstveni članek

Opis: This paper proposes a novel surrogate method of classification of breath sound signals for auscultation through the principal component analysis (PCA), extracting the features of a phase portrait. The nonlinear parameters of the phase portrait like the Lyapunov exponent, the sample entropy, the fractal dimension, and the Hurst exponent help in understanding the degree of complexity arising due to the turbulence of air molecules in the airways of the lungs. Thirty-nine breath sound signals of bronchial breath (BB) and pleural rub (PR) are studied through spectral, fractal, and phase portrait analyses. The fast Fourier transform and wavelet analyses show a lesser number of high-intense, low-frequency components in PR, unlike BB. The fractal dimension and sample entropy values for PR are, respectively, 1.772 and 1.041, while those for BB are 1.801 and 1.331, respectively. This study reveals that the BB signal is more complex and random, as evidenced by the fractal dimension and sample entropy values. The signals are classified by PCA based on the features extracted from the power spectral density (PSD) data and the features of the phase portrait. The PCA based on the features of the phase portrait considers the temporal correlation of the signal amplitudes and that based on the PSD data considers only the signal amplitudes, suggesting that the former method is better than the latter as it reflects the multidimensional aspects of the signal. This appears in the PCA-based classification as 89.6% for BB, a higher variance than the 80.5% for the PR signal, suggesting the higher fidelity of the phase portrait-based classification.
Ključne besede: Phase Portrait, time series, feature extraction, pleural rub
Objavljeno v RUNG: 05.07.2022; Ogledov: 1151; Prenosov: 0
Gradivo ima več datotek! Več...

2.
The nominal structure of clausal complements: An experimental study of wh-extraction in Bulgarian
Arthur Stepanov, Iliyana Krapova, 2021, objavljeni znanstveni prispevek na konferenci

Ključne besede: wh-extraction, experimental syntax, propositional attitude verb, Bulgarian
Objavljeno v RUNG: 21.06.2021; Ogledov: 2128; Prenosov: 0
Gradivo ima več datotek! Več...

3.
4.
5.
Creating better models of data work through big exercises of imagination
2020, radijska ali televizijska oddaja, podkast, intervju, novinarska konferenca

Ključne besede: predictive economies, data, social tech, machine learning, autonomy, data worker, trade union, solidarity, labour extraction, data labour rights
Objavljeno v RUNG: 08.12.2020; Ogledov: 2443; Prenosov: 27
URL Povezava na celotno besedilo

6.
Experimenting with Highest Conjunct Agreement under Left Branch Extraction
Boban Arsenijević, Franc Marušič, Jana Willer-Gold, 2020, objavljeni znanstveni prispevek na konferenci

Opis: A debate has developed in the recent theoretical and experimental linguistic literature on the status and the locus of conjunct agreement in South Slavic (SS; Marušič et al. 2007, Bošković 2009, Franks & Willer Gold 2014, Murphy & Puškar 2015; Marušič et al. 2015 and Willer Gold et al. 2016). One of the pertinent issues of the debate is the status of Highest Conjunct Agreement – agreement with the hierarchically highest conjunct (NP1) – in sentences with a preverbal subject. The question around which the debate revolves is a basic one: Is there Highest Conjunct Agreement (HCA) in Bosnian/Croatian/Serbian (BCS), and how is it blocked, or derived, respectively?
Ključne besede: syntax, agreement, conjunct agrement, left branch extraction, Bosnian/Croatian/Serbian
Objavljeno v RUNG: 18.05.2020; Ogledov: 2978; Prenosov: 0
Gradivo ima več datotek! Več...

7.
Recovery of bioactive components from fruit processing wastes
Branka Mozetič Vodopivec, 2019, objavljeni znanstveni prispevek na konferenci

Ključne besede: processing wastes, green extraction methods, polyphenols
Objavljeno v RUNG: 23.08.2019; Ogledov: 3109; Prenosov: 1
Gradivo ima več datotek! Več...

8.
FOOD PROCESSING WASTES AS POTENTIAL SOURCE OF BIOLOGICALLY ACTIVE COMPOUNDS
Branka Mozetič Vodopivec, 2018, objavljeni znanstveni prispevek na konferenci (vabljeno predavanje)

Ključne besede: food processing wastes, wine, olive oil, extraction methods, polyphenols
Objavljeno v RUNG: 10.09.2018; Ogledov: 3639; Prenosov: 0
Gradivo ima več datotek! Več...

9.
Restricting Left Branch Extraction in Slovenian
Petra Mišmaš, 2017, objavljeni povzetek znanstvenega prispevka na konferenci

Ključne besede: noun phrase, NP, DP, Left Branch Extraction, split DP, Slovenian, syntax
Objavljeno v RUNG: 26.10.2017; Ogledov: 4419; Prenosov: 0
Gradivo ima več datotek! Več...

10.
The comparison of anthocyanin and pyranoanthocyanin extraction efficiency in Pinot Noir wine using SPE
Jelena Topic, Dorota Korte, Branka Mozetič Vodopivec, 2017, objavljeni povzetek znanstvenega prispevka na konferenci

Ključne besede: Anthocyanins, wine, Pinot Noir, HPLC, solid-phase extraction
Objavljeno v RUNG: 05.07.2017; Ogledov: 5364; Prenosov: 0
Gradivo ima več datotek! Več...

Iskanje izvedeno v 0.06 sek.
Na vrh