1. Shodhganga@INFLIBNET
  2. GLA University
  3. Department of Civil Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/538507
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2024-01-09T10:20:35Z-
dc.date.available2024-01-09T10:20:35Z-
dc.identifier.urihttp://hdl.handle.net/10603/538507-
dc.description.abstractnewline
dc.format.extent158p.
dc.languageEnglish
dc.relation
dc.rightsself
dc.titlePrediction of Compressive Strength of Geopolymer Concrete Using Various Machine Learning Algorithms
dc.title.alternative
dc.creator.researcherSharma,Ujjwal
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Civil
dc.description.note
dc.contributor.guideGupta, Nakul and Verma, Manvendra
dc.publisher.placeMathura
dc.publisher.universityGLA University
dc.publisher.institutionDepartment of Civil Engineering
dc.date.registered2019
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Civil Engineering

Files in This Item:
File Description SizeFormat 
01.title.pdfAttached File343.67 kBAdobe PDFView/Open
02.prelim.pdf1.25 MBAdobe PDFView/Open
03. content.pdf449.48 kBAdobe PDFView/Open
04.abstract.pdf439.23 kBAdobe PDFView/Open
05.chapter1.pdf604.77 kBAdobe PDFView/Open
06.chapter 2.pdf582.53 kBAdobe PDFView/Open
07.chapter 3.pdf2.1 MBAdobe PDFView/Open
08.chapter 4.pdf3.65 MBAdobe PDFView/Open
09.chapter 5.pdf506.9 kBAdobe PDFView/Open
10.chapter 6.pdf498.85 kBAdobe PDFView/Open
11.annexure.pdf799.54 kBAdobe PDFView/Open
80_recommendation.pdf842.07 kBAdobe PDFView/Open
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