Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/576130
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2024-07-10T05:19:39Z | - |
dc.date.available | 2024-07-10T05:19:39Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/576130 | - |
dc.description.abstract | newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Tracheobronchial Signal Processing and Machine Learning Based Classification a Multipronged Approach Using Fractal Time Series and Complex Network Analyses | |
dc.title.alternative | ||
dc.creator.researcher | Renjini, A | |
dc.subject.keyword | Optics | |
dc.subject.keyword | Physical Sciences | |
dc.subject.keyword | Physics | |
dc.description.note | ||
dc.contributor.guide | Sankararaman, S | |
dc.publisher.place | Thiruvananthapuram | |
dc.publisher.university | University of Kerala | |
dc.publisher.institution | Department of Optoelectronics | |
dc.date.registered | ||
dc.date.completed | 2023 | |
dc.date.awarded | 2023 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Optoelectronics |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 873.01 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 2.26 MB | Adobe PDF | View/Open | |
03_content.pdf | 435.91 kB | Adobe PDF | View/Open | |
04_preface.pdf | 533.17 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 2.87 MB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 8.11 MB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 8.6 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 5.44 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 3.17 MB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 3.32 MB | Adobe PDF | View/Open | |
11_chapter 7.pdf | 808.92 kB | Adobe PDF | View/Open | |
12_annexures.pdf | 2.57 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 1.36 MB | Adobe PDF | View/Open |
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