Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/484157
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2023-05-18T10:00:34Z | - |
dc.date.available | 2023-05-18T10:00:34Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/484157 | - |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Development of Improved Algorithms for Anomaly Detection and Classification of Streaming PMU Data in Smart Grid | |
dc.title.alternative | ||
dc.creator.researcher | Amutha, A L | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Information Systems | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | Annie Uthra, R | |
dc.publisher.place | Kattankulathur | |
dc.publisher.university | SRM Institute of Science and Technology | |
dc.publisher.institution | Department of Computer Science Engineering | |
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 Computer Science Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 242.72 kB | Adobe PDF | View/Open |
02_preliminary page.pdf.pdf | 592.64 kB | Adobe PDF | View/Open | |
03_content.pdf | 233.08 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 306.5 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 627.67 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 562.04 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 1.55 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 1.1 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 723.51 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 995.92 kB | Adobe PDF | View/Open | |
11_chapter 7.pdf | 298.59 kB | Adobe PDF | View/Open | |
12_annexures.pdf | 339.09 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 408.59 kB | Adobe PDF | View/Open |
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