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Please use this identifier to cite or link to this item: http://20.198.91.3:8080/jspui/handle/123456789/8370
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dc.contributor.advisorBanerjee Roy, Runu, guide-
dc.contributor.authorAcharya, Srikanta-
dc.date.accessioned2025-06-18T06:15:11Z-
dc.date.available2025-06-18T06:15:11Z-
dc.date.issued2024-
dc.date.submitted2025-
dc.identifier.otherTC4248-
dc.identifier.urihttp://20.198.91.3:8080/jspui/handle/123456789/8370-
dc.descriptionAwarded year: 2025en_US
dc.format.extentxxviii, 127 p.en_US
dc.language.isoenen_US
dc.publisherJadavpur University, Kolkata, West Bengalen_US
dc.subjectElectronic Tongueen_US
dc.subjectMachine learningen_US
dc.subjectMolecular imprinted polymeren_US
dc.subjectElectrode optimizationen_US
dc.subjectFeature optimizationen_US
dc.titleQuality assessment of tea employing electronic tongue (ET): exploration of feature extraction techniques and prediction algorithmsen_US
dc.typeTexten_US
dc.departmentJadavpur university. Department of Instrumentation and Electronics Engineeringen_US
Appears in Collections:2025 (Awarded Year)

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PhD Thesis (Instrumentation and Electronics Engineering) Srikanta Acharya.pdf3.42 MBAdobe PDFView/Open
Synopsis Srikanta Acharya.pdf473.07 kBAdobe PDFView/Open


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