Bacterial Acoustic Fingerprinting: Nanomotion and Spectral Feature Analysis between Real and Synthetic Oscillations Using Deep Neural Networks.

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Title: Bacterial Acoustic Fingerprinting: Nanomotion and Spectral Feature Analysis between Real and Synthetic Oscillations Using Deep Neural Networks.
Authors: Zabn, Mawj1, Dawood, Ali2 aad@uomosul.edu.iq
Source: Journal of Chemical Health Risks. 2025, Vol. 15 Issue 4, p703-715. 13p.
Database: Academic Search Ultimate
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  Data: Bacterial Acoustic Fingerprinting: Nanomotion and Spectral Feature Analysis between Real and Synthetic Oscillations Using Deep Neural Networks.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Chemical+Health+Risks%22">Journal of Chemical Health Risks</searchLink>. 2025, Vol. 15 Issue 4, p703-715. 13p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=191875794
RecordInfo BibRecord:
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        Value: 10.60829/jchr.2025.1212556
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 703
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      – TitleFull: Bacterial Acoustic Fingerprinting: Nanomotion and Spectral Feature Analysis between Real and Synthetic Oscillations Using Deep Neural Networks.
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              Text: 2025
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              Y: 2025
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