Essays about: "Linear Information Models"
Showing result 16 - 20 of 199 essays containing the words Linear Information Models.
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16. School pressure and psychosomatic complaints among Swedish adolescents: does physical activity play a buffering role?
University essay from Stockholms universitet/Institutionen för folkhälsovetenskapAbstract : Aim: The aim of the study was to explore the association between school pressure and psychosomatic health complaints and the potentially moderating effect of physical activity in a Swedish cohort of adolescents.Method: Cross-sectional data from the Swedish Health Behavior in School-aged Children (HBSC) survey of 2017/2018 was used, with participants aged 11-15 (n=3,745). READ MORE
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17. Has Key Audit Matter become standardized? : Comparative study between UK and Swedish mutually owned insurance companies.
University essay from Jönköping UniversityAbstract : Background/problematization: Traditionally, the auditor’s report was a short pass-or-fail statement with a few lines of text andstandardized wording. Critics have argued that the auditor’s report was a tedious anduninformative statement, more entity-specific and relevant information was wanted in theauditor’s report. READ MORE
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18. Investigation of above-ground biomass with terrestrial laser scanning : A case study of Valls Hage in Gävle
University essay from Högskolan i Gävle/SamhällsbyggnadAbstract : The thesis investigates above-ground biomass (AGB) with terrestrial laser scanning (TLS) for estimating AGB in a study area in Valls Hage, Gävle. The study used TLS for field measurements to collect highly detailed point clouds of two tree species for AGB estimation and comparison against validation data. READ MORE
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19. Implementing SAE Techniques to Predict Global Spectacles Needs
University essay from Högskolan Dalarna/Institutionen för information och teknikAbstract : This study delves into the application of Small Area Estimation (SAE) techniques to enhance the accuracy of predicting global needs for assistive spectacles. By leveraging the power of SAE, the research undertakes a comprehensive exploration, employing arange of predictive models including Linear Regression (LR), Empirical Best Linear Unbiased Prediction (EBLUP), hglm (from R package) with Conditional Autoregressive (CAR), and Generalized Linear Mixed Models (GLMM). READ MORE
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20. Rotor temperature estimation in Induction Motors with Supervised Machine Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The electrification of the automotive industry and artificial intelligence are both growing rapidly and can be greatly beneficial for a more sustainable future when combined. Induction machines exhibit many complex relationships between physical and electromagnetic properties that must be calculated in order to produce the correct quantities of torque and speed commanded by the driver. READ MORE