1. Shodhganga@INFLIBNET
  2. Lovely Professional University
  3. Faculty of Technology and Sciences
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/308514
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2020-12-09T03:53:33Z-
dc.date.available2020-12-09T03:53:33Z-
dc.identifier.urihttp://hdl.handle.net/10603/308514-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleA Low Cost Innovative Solution for Automatic Water Quality Monitoring Using Machine Learning
dc.title.alternative
dc.creator.researcherSandeep Bansal
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.note
dc.contributor.guideDr G Geetha
dc.publisher.placePhagwara
dc.publisher.universityLovely Professional University
dc.publisher.institutionFaculty of Technology and Sciences
dc.date.registered2015
dc.date.completed2020
dc.date.awarded
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Technology and Sciences

Files in This Item:
File Description SizeFormat 
80_recommendation.pdfAttached File193.77 kBAdobe PDFView/Open
bibliography.pdf143.59 kBAdobe PDFView/Open
chapter 1.pdf404.5 kBAdobe PDFView/Open
chapter 2.pdf156.53 kBAdobe PDFView/Open
chapter 3.pdf304.75 kBAdobe PDFView/Open
chapter 4.pdf255.38 kBAdobe PDFView/Open
chapter 5.pdf477.91 kBAdobe PDFView/Open
chapter 6.pdf790.02 kBAdobe PDFView/Open
chapter 7.pdf10 kBAdobe PDFView/Open
declaration.pdf183.89 kBAdobe PDFView/Open
preliminary pages.pdf394.89 kBAdobe PDFView/Open
title page.pdf185.58 kBAdobe PDFView/Open
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