This thesis probes the intricate nature of visual object recognition, especially how visual recognition skills are associated or dissociated in developmental disorders and the neurotypical population. Our primary areas of focus include the role of ...

Despite the avowed aims of Icelandic welfare policies to provide services in a family-centred manner, parents commonly express their experiences of fragmented services that are offered more on the terms of the service providers than the families. ...

Municipal solid waste incineration has been identified as a major source of dioxins in the air, leading to the closure of many European incinerators. While gasification of waste and biomass has been considered a more environmentally friendly alternative, ...

Towards fulfilling increasingly stricter wastewater discharge standards, there is a need for developing reliable decentralized wastewater treatment processes. The goal of this research was to optimize gravity-driven membrane (GDM) filtration and assess ...

Inngangur. Þrátt fyrir að næstum öld sé liðin frá uppgötvun penisillíns og að langt sé liðið síðan bólusetningar hófust gegn Streptococcus pneumoniae (pneumokokkum), algengasta orsakavaldi lungnabólgu fullorðinna, er enn um algengan og alvarlegan sjúkdóm ...

Individuals within a population often differ predictably in their behaviour compared to other members across time and/or context, often termed personality, which can have major implications for ecology and evolution. Personality includes variation ...

A central question concerning language is “Where does meaning come from?”. This thesis addresses the question by considering the concept of colour and the vocabulary in Icelandic which falls within this semantic space. The research involves biological, ...

Background Previous research has shown that learning difficulties usually negatively impact the well-being and self-concept of children in primary school. This is the first Icelandic long-term study to examine the well-being of children with learning ...

The subject of this thesis is blind hyperspectral unmixing using deep learning based autoencoders. Two methods based on autoencoders are proposed and analyzed. Both methods seek to exploit the spatial correlations in the hyperspectral images to improve ...

Snow resources worldwide are undergoing extensive changes in response to widespread and rapid changing of the global climate. These resources are vital in many areas and changes to them have and will continue to impact human societies and ecosystems ...