Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/580674
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2024-08-05T11:14:52Z | - |
dc.date.available | 2024-08-05T11:14:52Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/580674 | - |
dc.description.abstract | newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Secured data Transaction for IOT Based Block Chain System Using Meta Hyperparameter Random forest Classifier | |
dc.title.alternative | ||
dc.creator.researcher | Subathra G | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Software Engineering | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | Antonidoss A | |
dc.publisher.place | Chennai | |
dc.publisher.university | Hindustan Institute of Technology and Science | |
dc.publisher.institution | Department of Computer Science and Engineering | |
dc.date.registered | 2020 | |
dc.date.completed | 2023 | |
dc.date.awarded | 2023 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science and Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf.pdf | Attached File | 76.44 kB | Adobe PDF | View/Open |
02_prelim pages.pdf.pdf | 424.3 kB | Adobe PDF | View/Open | |
03_content.pdf.pdf | 313.03 kB | Adobe PDF | View/Open | |
04_abstract.pdf.pdf | 119.4 kB | Adobe PDF | View/Open | |
05_chapter1.pdf.pdf | 618.03 kB | Adobe PDF | View/Open | |
06_chapter2.pdf.pdf | 423.3 kB | Adobe PDF | View/Open | |
07_chapter3.pdf.pdf | 625.6 kB | Adobe PDF | View/Open | |
08_chapter4.pdf.pdf | 870.15 kB | Adobe PDF | View/Open | |
09_chapter.5.pdf.pdf | 196.13 kB | Adobe PDF | View/Open | |
10_annexures.pdf.pdf | 170.61 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 119.4 kB | Adobe PDF | View/Open |
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