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Africa Centres of Excellence Scholarly Output
ACE Impact Research Publications
STEM
Machine learning algorithms for improving security on touch screen devices: a survey, challenges and new perspectives
Machine learning algorithms for improving security on touch screen devices: a survey, challenges and new perspectives
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Files
Machine.pdf
(1.35 MB)
Date
2020
Authors
Bello, Auwal Ahmed
Chiroma, Haruna
Gital, Abdulsalam Ya’u
Journal Title
Journal ISSN
Volume Title
Publisher
Neural Computing and Applications
DOI
Abstract
Description
Keywords
Machine learning algorithms
,
Deep learning
,
Mobile phone touch screen
,
Android
,
Support vector machine
,
Security
,
ACE: Technology Enhanced Learning
,
ACETEL
,
National open university of Nigeria (NOUN)
,
Nigeria
,
Digital Development
Citation
URI
https://datad.aau.org/handle/123456789/2115
Collections
STEM
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