A major limitation of Brain-Computer Interfaces (BCI) is their long calibration time, as much data from the user must be collected in order to tune the BCI for this target user. I...
This paper presents a hybrid BIST architecture and methods for optimizing it to test systems-on-chip in a cost effective way. The proposed self-test architecture can be implemente...
Gert Jervan, Zebo Peng, Raimund Ubar, Helena Kruus
Designing component-based application that meets performance requirements remains a challenging problem, and usually requires a prototype to be constructed to benchmark performanc...
E-Learning systems offer students innovative and attractive ways of learning through augmentation or substitution of traditional lectures and exercises with online learning materia...
Abstract. We study various ensemble methods for hybrid neural networks. The hybrid networks are composed of radial and projection units and are trained using a deterministic algori...