Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/519283
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Data analytics to augment the travel and tourism sector using deep learning techniques | |
dc.date.accessioned | 2023-10-20T09:52:13Z | - |
dc.date.available | 2023-10-20T09:52:13Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/519283 | - |
dc.format.extent | xxi,134p. | |
dc.language | English | |
dc.relation | p.125-133 | |
dc.rights | university | |
dc.title | Data analytics to augment the travel and tourism sector using deep learning techniques | |
dc.title.alternative | ||
dc.creator.researcher | Ratnakanth Godala | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Information Systems | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Gross Domestic Product | |
dc.subject.keyword | historical heritage | |
dc.subject.keyword | portfolio of niche tourism | |
dc.description.note | ||
dc.contributor.guide | Poonkuzhali, S | |
dc.publisher.place | Chennai | |
dc.publisher.university | Anna University | |
dc.publisher.institution | Faculty of Information and Communication Engineering | |
dc.date.registered | ||
dc.date.completed | 2022 | |
dc.date.awarded | 2022 | |
dc.format.dimensions | 21 c m | |
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 29.01 kB | Adobe PDF | View/Open |
02_prelim_pages.pdf | 1.25 MB | Adobe PDF | View/Open | |
03_content.pdf | 104.84 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 100.47 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 367.71 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 502.85 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 486.38 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 572.79 kB | Adobe PDF | View/Open | |
10_annexures.pdf | 298.33 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 118 kB | Adobe PDF | View/Open |
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