Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/598348
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2024-10-28T10:56:34Z | - |
dc.date.available | 2024-10-28T10:56:34Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/598348 | - |
dc.description.abstract | Attached newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Designing Drug Molecules using Data Assisted Techniques of Deep Learning | |
dc.title.alternative | ||
dc.creator.researcher | Bhadwal, Arun Singh | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Artificial Intelligence | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | Kumar, Kamal | |
dc.publisher.place | Srinagar | |
dc.publisher.university | National Institute of Technology Uttarakhand | |
dc.publisher.institution | Department Computer Science and Engineering | |
dc.date.registered | 2019 | |
dc.date.completed | 2023 | |
dc.date.awarded | 2024 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Computer Science and Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 163.36 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 8.75 MB | Adobe PDF | View/Open | |
03_content.pdf | 1.12 MB | Adobe PDF | View/Open | |
04_abstract.pdf | 1.25 MB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 9.06 MB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 6.46 MB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 13.72 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 13 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 17.08 MB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 15.52 MB | Adobe PDF | View/Open | |
11_annexures.pdf | 10.15 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 2.96 MB | Adobe PDF | View/Open |
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