1. Phase Portrait for High Fidelity Feature Extraction and Classification: A Surrogate ApproachMohanachandran 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: 1695; Prenosov: 0
Gradivo ima več datotek! Več... |
2. |
3. |
4. A modular method for the extraction of DNA and RNA, and the separation of DNA pools from diverse environmental sample typesMark Lever, Andrea Torti, Philip Eickenbusch, Alexander B. Michaud, Tina Šantl Temkiv, Bo Barker Jørgensen, 2015, izvirni znanstveni članek Ključne besede: DNA, RNA, extraction, environmentalsample, lowbiomass, modular, intracellular, extracellula
Objavljeno v RUNG: 04.01.2021; Ogledov: 2738; Prenosov: 176
 Celotno besedilo (5,92 MB) |
5. Creating better models of data work through big exercises of imagination2020, 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: 2989; Prenosov: 29
 Povezava na celotno besedilo |
6. Experimenting with Highest Conjunct Agreement under Left Branch ExtractionBoban 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: 3603; Prenosov: 0
Gradivo ima več datotek! Več... |
7. |
8. |
9. |
10. |
