Machine learning approach for label-free rapid detection and identification of virus using Raman spectra

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dc.contributor.authorAlexander, R.
dc.contributor.authorUppal, S.
dc.contributor.authorDey, A.
dc.contributor.authorKaushal, A.
dc.contributor.authorPrakash, J.
dc.contributor.authorDasgupta, K.
dc.date.accessioned2024-10-29T04:52:49Z
dc.date.available2024-10-29T04:52:49Z
dc.date.issued2023
dc.description.divisionMBD;G&AMDen
dc.format.extent5165 bytes
dc.format.mimetypetext/html
dc.identifier.sourceIntelligent Medicine, 2023. Vol. 3: pp. 22-35en
dc.identifier.urihttp://hdl.handle.net/123456789/27573
dc.language.isoenen
dc.subjectRaman spectroscopyen
dc.subjectMachine learningen
dc.subjectVirusen
dc.subjectBacteriophageen
dc.subjectConvolutional neural networken
dc.subjectAutoencoderen
dc.titleMachine learning approach for label-free rapid detection and identification of virus using Raman spectraen
dc.typeArticleen

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