Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/537766
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2024-01-08T05:02:38Z | - |
dc.date.available | 2024-01-08T05:02:38Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/537766 | - |
dc.description.abstract | newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Optimization Analysis for 5g Massive Technologies Using Machine Learning | |
dc.title.alternative | ||
dc.creator.researcher | Singh, Anamika | |
dc.subject.keyword | Engineering | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Engineering Electrical and Electronic | |
dc.description.note | ||
dc.contributor.guide | Kurmi, Uma Shankar | |
dc.publisher.place | Bhopal | |
dc.publisher.university | LNCT University | |
dc.publisher.institution | Department of Electronics and Communication Engineering | |
dc.date.registered | 2019 | |
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 Electronics and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 547.71 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 1.89 MB | Adobe PDF | View/Open | |
03_content.pdf | 475.74 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 444.08 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 846.65 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 749.77 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 1.39 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 1.03 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 811.6 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 555.35 kB | Adobe PDF | View/Open | |
11_bibliography.pdf | 657.05 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 281.48 kB | Adobe PDF | View/Open |
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