Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/493371
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Paper Technology | |
dc.date.accessioned | 2023-06-22T04:06:31Z | - |
dc.date.available | 2023-06-22T04:06:31Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/493371 | - |
dc.description.abstract | Available | |
dc.format.extent | xxiv, 157 p. | |
dc.language | English | |
dc.relation | NA | |
dc.rights | university | |
dc.title | Hybrid machine learning models for enhancing air quality and energy efficiency in smart cities | |
dc.title.alternative | Na | |
dc.creator.researcher | Banga, Alisha | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Material Science | |
dc.subject.keyword | Materials Science Paper and Wood | |
dc.description.note | NA | |
dc.contributor.guide | Sharma, S.C. | |
dc.publisher.place | Roorkee | |
dc.publisher.university | Indian Institute of Technology Roorkee | |
dc.publisher.institution | Department of Paper Technology | |
dc.date.registered | 2018 | |
dc.date.completed | 2022 | |
dc.date.awarded | 2022 | |
dc.format.dimensions | NA | |
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Paper Technology |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 97.47 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 2.97 MB | Adobe PDF | View/Open | |
03_abstract.pdf | 702.43 kB | Adobe PDF | View/Open | |
04_chapters 1-5.pdf | 5.48 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 1.11 MB | Adobe PDF | View/Open |
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