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Please use this identifier to cite or link to this item: http://20.198.91.3:8080/jspui/handle/123456789/7812
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dc.contributor.advisorDas, Nibaran-
dc.contributor.authorBanerjee, Arnab-
dc.date.accessioned2025-04-28T06:54:04Z-
dc.date.available2025-04-28T06:54:04Z-
dc.date.issued2024-
dc.date.submitted2024-
dc.identifier.otherTC4123-
dc.identifier.urihttp://20.198.91.3:8080/jspui/handle/123456789/7812-
dc.descriptionAwarded year: 2024en_US
dc.format.extent[xix], 135 p.en_US
dc.language.isoenen_US
dc.publisherJadavpur University, Kolkata, West Bengalen_US
dc.subjectDeep neural networken_US
dc.subjectFish species recognitionen_US
dc.subjectFish detectionen_US
dc.subjectFish segmentationen_US
dc.subjectPattern recognitionen_US
dc.titleAutomatic fish species recognition from the cluttered environmenten_US
dc.typeTexten_US
dc.departmentJadavpur university. Department of Computer Science and Engineeringen_US
Appears in Collections:2024 (Awarded Year)

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PhD Thesis (CSE) Arnab Banerjee.pdf50.32 MBAdobe PDFView/Open
Abstract Arnab Banerjee.pdf385.95 kBAdobe PDFView/Open


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