Sökning: "visual representations"
Visar resultat 21 - 25 av 150 avhandlingar innehållade orden visual representations.
21. Drawing Science : Visual Content Formation in Young Students’ Multimodal Science Compositions
Sammanfattning : This thesis explores visual formation of science content in young students’ multimodal text-image compositions. In doing so, it also contributes a metalanguage for visual meaning-making about science content in the early school years. LÄS MER
22. Tryckt bild eller avbildat tryck? : Visuella representationer av begrepp relaterade till tryck i fysikläroböcker för högstadiet
Sammanfattning : AbstractIn this study visual representations of the concept of pressure in five physics textbooks for lower secondary school have been analysed in terms of how they communicate the concept of pressure, and also how these representations work together to explain what pressure is. Examples of visual representations are fonts, photographs, sketches, tables or mathematic formulas. LÄS MER
23. Real-Time Visual Analytics Interfaces to Strengthen Human-Automation Collaboration
Sammanfattning : Automation in today’s world supports human operators to accomplish several tasks in limited time. With more advanced automation and autonomous systems, the hu-mans’ role is shifting from hands-on operational tasks to supervisory tasks. LÄS MER
24. Svenska siffror : Nationell integration och identifikation genom statistik 1800–1870
Sammanfattning : The aim of this thesis is to study the nation building process in Sweden. How was a national identity constructed? One answer to this question is that statistical representations of the nation played a major role to shape a visual image of Sweden. Statistical books became a popular genre during the nineteenth century. LÄS MER
25. Visual Representations and Models: From Latent SVM to Deep Learning
Sammanfattning : Two important components of a visual recognition system are representation and model. Both involves the selection and learning of the features that are indicative for recognition and discarding those features that are uninformative. LÄS MER