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Please use this identifier to cite or link to this item: http://20.198.91.3:8080/jspui/handle/123456789/9569
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dc.contributor.advisorDas, Alaka, guide-
dc.contributor.advisorDas, Nibaran, guide-
dc.contributor.authorKuiry, Somenath-
dc.date.accessioned2026-03-18T09:49:08Z-
dc.date.available2026-03-18T09:49:08Z-
dc.date.issued2025-
dc.date.submitted2025-
dc.identifier.otherTC4346-
dc.identifier.urihttp://20.198.91.3:8080/jspui/handle/123456789/9569-
dc.descriptionSupervisor(s): Das, Alaka (Dept. of Mathematics, J.U.) and Das, Nibaran (Dept. of Computer Science & Engineering, J.U.); Awarded year: 2025en_US
dc.format.extentxxii, 152 p.en_US
dc.language.isoenen_US
dc.publisherJadavpur University, Kolkata, West Bengalen_US
dc.subjectDeep learning techniquesen_US
dc.subjectImage segmentationen_US
dc.titleTo develop some novel uncertainty estimation models using deep learning techniques for image segmentationen_US
dc.typeTexten_US
dc.departmentJadavpur university. Department of Mathematicsen_US
Appears in Collections:2025 (Awarded Year)

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Thesis (Mathematics) Somenath Kuiry.pdf12.72 MBAdobe PDFView/Open
Abstract Somenath Kuiry.pdf784.58 kBAdobe PDFView/Open


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