Please use this identifier to cite or link to this item:
http://localhost:8080/xmlui/handle/123456789/4860
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sharma, Ashish | - |
dc.contributor.author | Sethi, Gaurav | - |
dc.date.accessioned | 2024-02-29T09:14:26Z | - |
dc.date.available | 2024-02-29T09:14:26Z | - |
dc.date.issued | 2024 | - |
dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/4860 | - |
dc.language.iso | en_US | en_US |
dc.publisher | Lovely Professional University, Phagwara | en_US |
dc.subject | Electronics and Communication Engineering | en_US |
dc.title | A machine learning approach for the detection of human fatigue post physical activity | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Ph.D Thesis |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Final Thesis Full.pdf | 4.74 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.