Sökning: "harrison"
Visar resultat 1 - 5 av 19 avhandlingar innehållade ordet harrison.
1. The Early State and the Towns. Forms of Integration in Lombard Italy, AD 568-774
Sammanfattning : This disstertation is a study of the foundations of the early state of Lombard Italy, AD 568-774. The main issue of the work is the hypothetical integration of social sectors within the context of an early state, as opposed to alternative forms of integration. LÄS MER
2. Topology optimization of transitional flows
Sammanfattning : This thesis is concerned with the application of topology optimization in thedesign of structures that control fluids. A framework is developed in the high-order Spectral Element Method (SEM) code Nek5000, extending Nek5000 fromits original capabilities, performing Direct Numerical Simulations (DNS), toperforming density-based topology optimization. LÄS MER
3. Discursive skin : Entanglements of gender, discourse and technology
Sammanfattning : The aim of this study is to explore the relationship between gender, discourse and technology, and the resulting construction of bodily norms, in a contemporary environment dominated by info- and bio-technologies. The premise from which this study starts is that the ‘intra-action’ between gender, discourse and technology plays a central role in shaping contemporary identities. LÄS MER
4. Sustainable Electromobility : A System Approach to Transformation of Transportation
Sammanfattning : This thesis aims to explore, analyze, and develop knowledge that leads to an understanding of identifying the key actors and their symbiotic relationships and dependencies in transforming the energy and transportation system from fossil-based to renewable and fossil fuel-powered vehicles to electric. The research was explorative and categorized into two studies. LÄS MER
5. Deep learning approaches for image cytometry: assessing cellular morphological responses to drug perturbations
Sammanfattning : Image cytometry is the analysis of cell properties from microscopy image data and is used ubiquitously in basic cell biology, medical diagnosis and drug development. In recent years deep learning has shown impressive results for many image cytometry tasks, including image processing, segmentation, classification and detection. LÄS MER