Identification of ambilyapia disease using recurrent neural network and deep coded link net archicture

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dc.contributor.guideShanthi N
dc.coverage.spatialIdentification of ambilyapia disease using recurrent neural network and deep coded link net archicture
dc.creator.researcherLalitha S
dc.date.accessioned2023-08-29T06:53:34Z
dc.date.available2023-08-29T06:53:34Z
dc.date.awarded2022
dc.date.completed2022
dc.date.registered
dc.description.note
dc.format.accompanyingmaterialNone
dc.format.dimensions21
dc.format.extentxvii, 109p
dc.identifier.urihttp://hdl.handle.net/10603/509563
dc.languageEnglish
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.relationp. 102-108
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordAmblyopia
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Artificial Intelligence
dc.subject.keywordDetection
dc.subject.keyworddevelopment
dc.subject.keywordEngineering and Technology
dc.titleIdentification of ambilyapia disease using recurrent neural network and deep coded link net archicture
dc.title.alternative
dc.type.degreePh.D.

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