From the real-time forecasting of events to Visual analysis tasks, state-of-the-art machine learning algorithms exhibit unmatched performance. Furthermore, with ongoing traction embedded computing, deployment on mobile devices is receiving increasing attention. There are numerous practical applications where hand-held having methods can be more useful due their compact size and integrated resou...

As the smartphone and services it provides are becoming targets of cybercrime, is critical to secure smartphones. However, important security controls designed provide continuous user-friendly security. Amongst most these user authentication, where users have experienced a significant rise in need authenticate device individually numerous apps that contains. Gait authentication has gained atten...

Abstract This chapter collects some numerical experiments to test the performance of kernel-based approaches for discrete-time linear system identification. Using Monte Carlo simulations, we will compare methods with classical PEM described in Chap. 10.1007/978-3-030-95860-2_2 . Simulated and real data are included, concerning a robotic arm, hairdryer problem temperature prediction. We conclude...