Please use this identifier to cite or link to this item:
http://repository.futminna.edu.ng:8080/jspui/handle/123456789/19676| Title: | DEVELOPMENT OF ARTIFICIAL NEURAL NETWORK BASED BACKDOOR ATTACK DETECTION TECHNIQUE WITH BINARY PARTICLE SWARM OPTIMIZATION FOR FEATURE SELECTION |
| Authors: | LAWAL, ABDULLAHI M. |
| Issue Date: | Sep-2021 |
| URI: | http://repository.futminna.edu.ng:8080/jspui/handle/123456789/19676 |
| 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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