Please use this identifier to cite or link to this item:
http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/19676Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | LAWAL, ABDULLAHI M. | - |
| dc.date.accessioned | 2023-12-04T17:46:59Z | - |
| dc.date.available | 2023-12-04T17:46:59Z | - |
| dc.date.issued | 2021-09 | - |
| dc.identifier.uri | http://repository.futminna.edu.ng:8080/jspui/handle/123456789/19676 | - |
| dc.language.iso | en | en_US |
| dc.title | DEVELOPMENT OF ARTIFICIAL NEURAL NETWORK BASED BACKDOOR ATTACK DETECTION TECHNIQUE WITH BINARY PARTICLE SWARM OPTIMIZATION FOR FEATURE SELECTION | en_US |
| dc.type | Thesis | en_US |
| Appears in Collections: | PhD theses and dissertations | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| LAWAL ABDULLAHI M. DEVELOPMENT OF ARTIFICIAL NEURAL NETWORK BASED BACKDOOR ATTACK DETECTION TECHNIQUE WITH BINARY PARTICLE SWARM OPTIMIZATION FOR FEATURE SELECTION.pdf | 847.12 kB | Adobe PDF | View/Open |
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