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  1. IR@JU
  2. Ph.D. Thesis
  3. Faculty Council of Engineering & Technology
  4. 2025 (Awarded Year)
Please use this identifier to cite or link to this item: http://20.198.91.3:8080/jspui/handle/123456789/9695
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DC FieldValueLanguage
dc.contributor.advisorNaskar, Shilpi, guide-
dc.contributor.authorSaha, Jayeeta-
dc.date.accessioned2026-04-09T09:37:56Z-
dc.date.available2026-04-09T09:37:56Z-
dc.date.issued2025-
dc.date.submitted2025-
dc.identifier.otherTC4386-
dc.identifier.urihttp://20.198.91.3:8080/jspui/handle/123456789/9695-
dc.descriptionSupervisor(s): Naskar, Shilpi (Dept. of Printing Engineering, J.U.); Awarded year: 2025en_US
dc.format.extentxii, 192 p.en_US
dc.language.isoenen_US
dc.publisherJadavpur University, Kolkata, West Bengalen_US
dc.subjectPrint qualityen_US
dc.subjectDefect detectionen_US
dc.subjectComputer visionen_US
dc.titlePrint quality assessment and defect detection using computer visionen_US
dc.typeTexten_US
dc.departmentJadavpur university. Department of Printing Engineeringen_US
Appears in Collections:2025 (Awarded Year)

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Abstract Jayeeta Saha.pdf731.87 kBAdobe PDFView/Open
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