Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/519283
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dc.coverage.spatialData analytics to augment the travel and tourism sector using deep learning techniques
dc.date.accessioned2023-10-20T09:52:13Z-
dc.date.available2023-10-20T09:52:13Z-
dc.identifier.urihttp://hdl.handle.net/10603/519283-
dc.format.extentxxi,134p.
dc.languageEnglish
dc.relationp.125-133
dc.rightsuniversity
dc.titleData analytics to augment the travel and tourism sector using deep learning techniques
dc.title.alternative
dc.creator.researcherRatnakanth Godala
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordEngineering and Technology
dc.subject.keywordGross Domestic Product
dc.subject.keywordhistorical heritage
dc.subject.keywordportfolio of niche tourism
dc.description.note
dc.contributor.guidePoonkuzhali, S
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions21 c m
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File29.01 kBAdobe PDFView/Open
02_prelim_pages.pdf1.25 MBAdobe PDFView/Open
03_content.pdf104.84 kBAdobe PDFView/Open
04_abstract.pdf100.47 kBAdobe PDFView/Open
05_chapter 1.pdf367.71 kBAdobe PDFView/Open
06_chapter 2.pdf502.85 kBAdobe PDFView/Open
07_chapter 3.pdf486.38 kBAdobe PDFView/Open
08_chapter 4.pdf572.79 kBAdobe PDFView/Open
10_annexures.pdf298.33 kBAdobe PDFView/Open
80_recommendation.pdf118 kBAdobe PDFView/Open


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