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 |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.