This paper studies the problem of learning under both large datasets and large-dimensional feature space scenarios. The feature information is assumed to be spread across agents in a network, where each agent observes some of the features. Through local co ...
This paper presents an intensive overview of the characterization and modeling of advanced 28-nm hulk and FDSOI CMOS processes operating continuously from room down to deep cryogenic temperature. ...
Mid-infrared spectrum is powerful for biosensing application, as it encompasses the molecular vibrations that uniquely identify the biochemicals. Here, we will present our contributions using metal, graphene and dielectric based Mid-IR nanophotonics. ...
Nanoscale variations in the composition of an AlxGa1−xAs shell around a GaAs nanowire affect the nanowire functionality and can lead to the formation of localized quantum emitters. These composition fluctuations can be the consequence of variations of crys ...
Feedback linearization requires a unique feedback law and a unique diffeomorphism to bring a system to Brunovsk´y normal form. Unfortunately, singularities might arise both in the feedback law and in the diffeomorphism. This paper demonstrates the ability ...
