1. Shodhganga@INFLIBNET
  2. Saveetha University
  3. Department of Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/429385
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2022-12-21T10:19:46Z-
dc.date.available2022-12-21T10:19:46Z-
dc.identifier.urihttp://hdl.handle.net/10603/429385-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleA hybrid deep learning improved BAT optimization algorithm for soil classification using remote sensing hyperspectral features
dc.title.alternative
dc.creator.researcherS Prasanna Bharathi
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.note
dc.contributor.guideS Srinivasan
dc.publisher.placeChennai
dc.publisher.universitySaveetha University
dc.publisher.institutionDepartment of Engineering
dc.date.registered2017
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Engineering

Files in This Item:
File Description SizeFormat 
01_title page.pdfAttached File94.64 kBAdobe PDFView/Open
02_prelim pages.pdf1.17 MBAdobe PDFView/Open
03_ content.pdf156.44 kBAdobe PDFView/Open
04_abstract.pdf349.54 kBAdobe PDFView/Open
05_chapter 1.pdf401.38 kBAdobe PDFView/Open
06_chapter 2.pdf543.06 kBAdobe PDFView/Open
07_chapter 3.pdf1.35 MBAdobe PDFView/Open
08_chapter 4.pdf2.01 MBAdobe PDFView/Open
09_chapter 5.pdf2.23 MBAdobe PDFView/Open
10_annexure.pdf2.04 MBAdobe PDFView/Open
80_recommendation.pdf358.67 kBAdobe PDFView/Open
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