Machine Learning (ML) is extensively used in diverse healthcare applications to aid physicians in diagnosing and identifying associations, sometimes hidden, between dif- ferent biomedical parameters. This PhD thesis investigates the interplay of ...

Wearable robots (WRs) are increasingly moving out of the labs toward real-world applications. In order for WRs to be effectively and widely adopted by end-users, a common benchmarking framework needs to be established. In this article, we outline the ...

The electronic properties of graphene nanoflakes (GNFs) with embedded hexagonal boron nitride (hBN) domains are investigated by combined ab initio density functional theory calculations and machine-learning techniques. The energy gaps of the quasi-0D ...

We survey 231 undergraduate students to analyze how retail investors’ characteristics influence their decision to use a robo-advisor. Characteristics such as the willingness to take risk, extraversion, and optimism are significant in univariate tests ...

Eftirspurn eftir starfsendurhæfingu á Íslandi hefur aukist síðastliðin ár og aðsókn ungs fólks þar hlutfallslega mest. Miklu máli skiptir að fjármunum samfélagsins sé vel varið án þess að gæði og þjónusta skerðist. Sú spurning vaknar því hvort gervigreind ...

Sound localization is the ability of humans to determine the source direction of sounds that they hear. Emulating this capability in virtual environments can have various societally relevant applications enabling more realistic virtual acoustics. We ...