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Title:Time series and mel frequency analyses of wet and dry cough signals : a neural net classification
Authors:ID Renjini, Ammini (Author)
ID Swapna, Mohanachandran Nair Sindhu (Author)
ID Satheesh Kumar, K. (Author)
ID Iyer Sankararaman, Sankaranarayana (Author)
Files:URL https://www.sciencedirect.com/science/article/pii/S0378437123005940
 
Language:English
Work type:Unknown
Typology:1.01 - Original Scientific Article
Organization:UNG - University of Nova Gorica
Keywords:time series, mel frequency, cough signal, wet cough, dry cough, phase portrait, mel coefficients, fractal dimension, neural network
Publication status:Published
Publication version:Version of Record
Publication date:01.09.2023
Year of publishing:2023
Number of pages:str. 1-8
Numbering:Vol. 626, [article no.] 129039
PID:20.500.12556/RUNG-8487-aa5fd71f-d195-0ee3-ab9d-8b5e3384a1eb New window
COBISS.SI-ID:166293251 New window
ISSN:0378-4371
UDC:53
ISSN on article:0378-4371
DOI:10.1016/j.physa.2023.129039 New window
NUK URN:URN:SI:UNG:REP:DDEYYBX9
Publication date in RUNG:29.09.2023
Views:1690
Downloads:6
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Record is a part of a journal

Title:Physica. Statistical mechanics and its applications
Shortened title:Physica, A
Publisher:North-Holland
ISSN:0378-4371
COBISS.SI-ID:3270415 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0393
Name:Napredni materiali za nizkoogljično in trajnostno družbo

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