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/10603/603340
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2024-11-27T12:09:21Z-
dc.date.available2024-11-27T12:09:21Z-
dc.identifier.urihttp://hdl.handle.net/10603/603340-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleefficient prediction and classification of river water quality in india using stacked ensemble learning approach
dc.title.alternative
dc.creator.researcherKarpagam V
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Interdisciplinary Applications
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideS Christy
dc.publisher.placeChennai
dc.publisher.universitySaveetha University
dc.publisher.institutionDepartment of Engineering
dc.date.registered2021
dc.date.completed2024
dc.date.awarded2024
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 .pdfAttached File215.08 kBAdobe PDFView/Open
02_prelim pages.pdf291.62 kBAdobe PDFView/Open
03_content .pdf775.96 kBAdobe PDFView/Open
04_abstract .pdf424.54 kBAdobe PDFView/Open
05_chapter 1.pdf196.31 kBAdobe PDFView/Open
06_chapter 2.pdf129.16 kBAdobe PDFView/Open
07_chapter 3.pdf271.61 kBAdobe PDFView/Open
08_chapter 4.pdf679.78 kBAdobe PDFView/Open
09_chapter 5 .pdf681.99 kBAdobe PDFView/Open
10_annexures.pdf310.25 kBAdobe PDFView/Open
11_chapter 6.pdf1.39 MBAdobe PDFView/Open
80_recommendation.pdf13.65 kBAdobe PDFView/Open
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