Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/519979
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dc.coverage.spatialAutomated detection and classification of retinal diseases using machine learning approaches
dc.date.accessioned2023-10-22T06:21:23Z-
dc.date.available2023-10-22T06:21:23Z-
dc.identifier.urihttp://hdl.handle.net/10603/519979-
dc.description.abstractnewlineModern communication systems have immensely endeavored to newlinetradeoff digital signal processing for analog circuitry. Sophisticated algorithms newlinehave been developed in both custom programmable hardware and software to newlinehandle this trade-off; such devices are referred to as Software-Defined Radios newline(SDR). The technology for implementing modern and future generations of newlinedigital wireless communication infrastructure is provided by advanced software- newlinedefined radios, which are composed of highly programmable hardware and newlinecomputers. In wireless communications, some of the important techniques are newlinetuning, filtering, and decimation of a received signal.
dc.format.extentxxiii,179p.
dc.languageEnglish
dc.relationp.168-178.
dc.rightsuniversity
dc.titleAutomated detection and classification of retinal diseases using machine learning approaches
dc.title.alternative
dc.creator.researcherAbinaya, A
dc.subject.keywordInformation And Communication Engineering
dc.subject.keywordSoftware-Defined Radios
dc.description.note
dc.contributor.guideMaheswari,M
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions21cm
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File22.99 kBAdobe PDFView/Open
02_prelim_pages.pdf1.27 MBAdobe PDFView/Open
03_content.pdf9.58 kBAdobe PDFView/Open
04_abstract.pdf8.13 kBAdobe PDFView/Open
05_chapter 1.pdf204.82 kBAdobe PDFView/Open
06_chapter 2.pdf74.37 kBAdobe PDFView/Open
07_chapter 3.pdf752.1 kBAdobe PDFView/Open
08_chapter 4.pdf1.69 MBAdobe PDFView/Open
09_chapter 5.pdf1.17 MBAdobe PDFView/Open
10_chapter 6.pdf470.56 kBAdobe PDFView/Open
11_annexures.pdf517.82 kBAdobe PDFView/Open
80_recommendation.pdf61.63 kBAdobe PDFView/Open


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