Search for dissertations about: "Loss"
Showing result 1 - 5 of 4697 swedish dissertations containing the word Loss.
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1. Mass Loss of Evolved Stars : Improving Mass-Loss Rates and Distances
Abstract : In the final stages of their lives, low to intermediate-mass stars enter the Asymptotic Giant Branch (AGB) phase, where they experience significant mass loss through dusty stellar winds. This mass loss is pivotal, not only for the chemical enrichment of the interstellar medium, setting the stage for new stars and planets to form, but also in dictating the evolution and the ultimate fate of the stars themselves. READ MORE
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2. Loss Minimisation in Dynamic Food Processes
Abstract : The overall aim of the present work was to reduce losses during product changes or during rinsing in continuous food processing, with particular attention to dairy plants. The concept of sensor fusion of common process instruments was implemented as a tool to monitor the milk and fat concentrations in a dairy processing line. READ MORE
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3. Internet Interventions for Hearing Loss : Examing rehabilitation, self-report measures and internet use for hearing-aid users
Abstract : In the future, audiological rehabilitation of adults with hearing loss will be more available, personalized and thorough due to the possibilities offered by the internet. By using the internet as a platform it is also possible to perform the process of rehabilitation in a cost-effective way. READ MORE
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4. Functioning and disability in adults with hearing loss : the preparatory studies in the ICF Core sets for hearing loss project
Abstract : Hearing loss (HL) is a health condition that affects more than 360 million people worldwide. The findings from previous research point at the adverse relationship between adults with hearing loss and important aspects of everyday life such as social relations, communication and work-related tasks. READ MORE
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5. Deep Perceptual Loss and Similarity
Abstract : This thesis investigates deep perceptual loss and (deep perceptual) similarity; methods for computing loss and similarity for images as the distance between the deep features extracted from neural networks. The primary contributions of the thesis consist of (i) aggregating much of the existing research on deep perceptual loss and similarity, and (ii) presenting novel research into understanding and improving the methods. READ MORE