Feature subset selection (FSS) has received a great deal of attention in statistics, machine
learning, and data mining. Real world data analyzed by data mining algorithms can involve …

This paper introduces an approach for user authentication using free-text keystroke
dynamics which incorporates the use of non-conventional keystroke features. Semi-timing …

Capabilities of the bat algorithm optimized extreme learning machine (Bat-ELM) model for
dew point temperature (T dew) estimation were evaluated in this study, in comparison with …

The latest trend in authenticating users is by using the potentiality of biometrics. Keystroke
dynamics is a behavioural biometrics which captures the ty** rhythms of users and then …

In recent years, computing devices have become widely distributed, and the accumulated
data from these devices are growing rapidly, especially as they are increasingly equipped …

In this paper user verification and identification system on touch screen mobile devices is
proposed. The system examines the keystroke dynamics and uses it as a second …

This study introduces an approach for user authentication using free‐text keystroke
dynamics which incorporates text in Arabic language. The Arabic language has completely …

We focus on QoE-optimized video delivery in a wireless heterogeneous network setting,
where users equipped with multi-interface devices access a Dynamic Adaptive Streaming …

Online learning has entirely transformed the way of learning by the students. Online tests
and quizzes play an important role in online learning, which provides accurate results to the …

As a kind of behavioural characteristic, keystroke features are crucial to the accuracy of user
identification system using shallow machine learning algorithms. Filter and wrapper feature …