Search for dissertations about: "Högskolan i Halmstad"
Showing result 6 - 10 of 196 swedish dissertations containing the words Högskolan i Halmstad.
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6. Health among people with psychotic disorders and effects of an individualized lifestyle intervention to promote health
Abstract : The overall aim of the thesis was to increase knowledge of health among people with psychotic disorders such as schizophrenia and other long-term psychotic conditions. The aim was also to investigate health effects, in terms of clinical health outcomes and self-reported questionnaires, of atwo-year individualized lifestyle intervention implemented in psychiatric outpatient services involving cooperation with the municipal social psychiatry services. READ MORE
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7. From Domain Adaptation to Federated Learning
Abstract : Data-driven methods have been gaining increasing attention; however, along with the benefits they offer, they also present several challenges, particularly concerning data availability, accessibility, and heterogeneity, the three factors that have shaped the development of this thesis. Data availability is the primary consideration when employing data-driven methodologies. READ MORE
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8. Towards conformal methods for large-scale monitoring of district heating substations
Abstract : Increasing technical complexity, design variations, and customization options of IoT units create difficulties for the construction of monitoring infrastructure. These units can be associated with different domains, such as a fleet of vehicles in the mobility domain and a fleet of heat-pumps in the heating domain. READ MORE
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9. Machine Learning Survival Models : Performance and Explainability
Abstract : Survival analysis is an essential statistics and machine learning field in various critical applications like medical research and predictive maintenance. In these domains understanding models' predictions is paramount. READ MORE
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10. Evolving intelligence : Overcoming challenges for Evolutionary Deep Learning
Abstract : Deep Learning (DL) has achieved remarkable results in both academic and industrial fields over the last few years. However, DL models are often hard to design and require proper selection of features and tuning of hyper-parameters to achieve high performance. These selections are tedious for human experts and require substantial time and resources. READ MORE