Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/528301
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.date.accessioned | 2023-12-05T11:00:29Z | - |
dc.date.available | 2023-12-05T11:00:29Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/528301 | - |
dc.language | English | - |
dc.rights | university | - |
dc.title | Human Activity Recognition Using Random Value Functional Link Network | - |
dc.creator.researcher | Vaghela, Rashmika K | - |
dc.subject.keyword | Computer Science | - |
dc.subject.keyword | Computer Science Information Systems | - |
dc.subject.keyword | DenseNet121 | - |
dc.subject.keyword | Engineering and Technology | - |
dc.subject.keyword | Human Activity Recognition (HAR) | - |
dc.subject.keyword | I3D Architecture | - |
dc.subject.keyword | VGG19 | - |
dc.subject.keyword | Vision based | - |
dc.contributor.guide | Modi, Kirit | - |
dc.publisher.place | Vadodara | - |
dc.publisher.university | Parul University | - |
dc.publisher.institution | Department of Computer Science Engineering (CSE) | - |
dc.date.registered | 2019 | - |
dc.date.completed | 2023 | - |
dc.date.awarded | 2023 | - |
dc.format.accompanyingmaterial | DVD | - |
dc.source.university | University | - |
dc.type.degree | Ph.D. | - |
Appears in Departments: | Department of Computer Science Engineering (CSE) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 101.61 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 2.78 MB | Adobe PDF | View/Open | |
03_content.pdf | 162.07 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 66.71 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 985.79 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 266.14 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 676.1 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 1.35 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 67.46 kB | Adobe PDF | View/Open | |
10_annexures.pdf | 6.33 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 163.5 kB | Adobe PDF | View/Open |
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