Please use this identifier to cite or link to this item:
http://20.198.91.3:8080/jspui/handle/123456789/6330
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Sinha Chaudhuri, Sheli | - |
dc.contributor.author | Roy, Kyamelia | - |
dc.date.accessioned | 2024-07-04T06:37:02Z | - |
dc.date.available | 2024-07-04T06:37:02Z | - |
dc.date.issued | 2023 | - |
dc.date.submitted | 2024 | - |
dc.identifier.other | TC3850 | - |
dc.identifier.uri | http://20.198.91.3:8080/jspui/handle/123456789/6330 | - |
dc.format.extent | 174 p. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Jadavpur University, Kolkata, West Bengal | en_US |
dc.subject | Deep Learning | en_US |
dc.subject | Classification | en_US |
dc.subject | Segmentation | en_US |
dc.subject | Detection | en_US |
dc.subject | Convolutional Neural Network | en_US |
dc.title | Study of deep learning based classification of digital images for real life applications | en_US |
dc.type | Text | en_US |
dc.department | Jadavpur University. Department of Electronics and Telecommunication Engineering | en_US |
Appears in Collections: | 2024 (Awarded Year) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Abstract.pdf | 265.32 kB | Adobe PDF | View/Open | |
PhD Thesis(Electronics and Telecommunication Engineering) Kyamelia Roy.pdf | 14.32 MB | Adobe PDF | View/Open |
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