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Integrated Approach for Automatic Crackle Detection Based on Fractal Dimension and Box Filtering
Pinho, Cátia; Oliveira, Ana; Jácome, Cristina; … - In: International Journal of Reliable and Quality … 5 (2016) 4, pp. 34-50
Crackles are adventitious respiratory sounds (RS) that provide valuable information on different respiratory conditions …. Nevertheless, crackles automatic detection in RS is challenging, mainly when collected in clinical settings. This study aimed to …) verification of its validity; iii) characterisation of crackles parameters; and iv) optimisation of the algorithm parameters …
Persistent link: https://www.econbiz.de/10012047306
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Global burden of chronic respiratory diseases and risk factors, 1990–2019: an update from the Global Burden of Disease Study 2019
Momtazmanesh, Sara; Moghaddam, Sahar Saeedi; Ghamari, … - In: eClinicalMedicine 59 (2023), pp. 101936-101936
Persistent link: https://www.econbiz.de/10014315225
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Instantaneous frequency–time analysis of physiology signals: The application of pregnant women’s radial artery pulse signals
Su, Zhi-Yuan; Wang, Chuan-Chen; Wu, Tzuyin; Wang, Yeng-Tseng - In: Physica A: Statistical Mechanics and its Applications 387 (2008) 2, pp. 485-494
This study used the Hilbert–Huang transform, a recently developed, instantaneous frequency–time analysis, to analyze radial artery pulse signals taken from women in their 36th week of pregnancy and after pregnancy. The acquired instantaneous frequency–time spectrum (Hilbert spectrum) is...
Persistent link: https://www.econbiz.de/10010589783
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Empirical study of the scaling behavior of the amplitude–frequency distribution of the Hilbert–Huang transform and its application in sunspot time series analysis
Zhou, Yu; Leung, Yee; Ma, Jian-Min - In: Physica A: Statistical Mechanics and its Applications 392 (2013) 6, pp. 1336-1346
Investigating long-range correlation by the Hurst exponent, H, is crucial in the study of time series. Recently, empirical-mode-decomposition-based arbitrary-order Hilbert spectral analysis (EMD-HSA) has been proposed to numerically obtain without proof a scaling relationship, generated from the...
Persistent link: https://www.econbiz.de/10011062201
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Forecasting simultaneously high-dimensional time series : a robust model-based clustering approach
Wang, Yongning; Tsay, Ruey S.; Ledolter, Johannes; … - In: Journal of forecasting 32 (2013) 8, pp. 673-684
Persistent link: https://www.econbiz.de/10010344465
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A multi-level text classifier for feedback analysis using tweets to enhance product performance
Balusamy, Balamurugan; Maruli, Thusitha; Thangavelu, … - In: International journal of electronic marketing and … 6 (2015) 4, pp. 315-338
Persistent link: https://www.econbiz.de/10011523825
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Understanding the characteristics of financial time series through neural network and SVM approaches
Moradi, Arash; Alizadeh, Mojtaba; Samadi, Masoud; … - In: International journal of electronic finance : IJEF 9 (2016/2019) 3, pp. 202-216
Persistent link: https://www.econbiz.de/10012050809
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Tuning hyperparameters of a SVM-based water demand forecasting system through parallel global optimization
Candelieri, Antonio; Giordani, Ilaria; Archetti, Francesco - In: Computers & operations research : and their … 106 (2019), pp. 202-209
Persistent link: https://www.econbiz.de/10012014411
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A study of feature selection techniques for predicting customer retention in telecommunication sector
Sivasankar, E.; Vijaya, J. - In: International journal of business information systems : … 31 (2019) 1, pp. 1-26
Persistent link: https://www.econbiz.de/10012062925
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Improving the shilling attack detection in recommender systems using an SVM Gaussian mixture model
Alostad, Jasem M. - In: Journal of information & knowledge management : JIKM 18 (2019) 1, pp. 1950011-1-1950011-18
Persistent link: https://www.econbiz.de/10012027182