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Visar resultat 1 - 5 av 66 avhandlingar som matchar ovanstående sökkriterier.
1. Complex activity recognition and context validation within social interaction tools
Sammanfattning : Human activity recognition using sensing technology is crucial in achieving pervasive and ubiquitous computing paradigms. It can be applied in many domains such as health-care, aged-care, personal-informatics, industry, sports and military. LÄS MER
2. Investigating the activation and regulation of the proteasome : an essential proteolytic complex
Sammanfattning : The proteasome is a major non-lysosomal proteolytic complex present in eukaryotic cells and has a central role in regulating many protein levels. The complex has been shown to participate in various intracellular pathways including cell cycle regulation or quality control of newly synthesized proteins and many other key pathways. LÄS MER
3. Mellan människor och ting : En interaktionistisk analys av samlandet
Sammanfattning : In most sociological paradigms the importance of human interaction for the understanding of societies, is a well established fact. In this study, the focus is the interaction between human beings and material things as it is occurring in practice. LÄS MER
4. Computational Analysis of Molecular Recognition Involving the Ribosome and a Voltage Gated K+ Channel
Sammanfattning : Over the last few decades, computer simulation techniques have been established as an essential tool for understanding biochemical processes. This thesis deals mainly with the application of free energy calculations to ribosomal complexes and a cardiac ion channel. LÄS MER
5. Machine learning for identification of brain activity patterns with applications in gentle touch processing
Sammanfattning : Since the first mention of artificial intelligence in the 1950s, the field of machine learning has provided increasingly appealing tools for recognition of otherwise unintelligible pattern representations in complex data structures. Human brain activity, acquired using functional magnetic resonance imaging (fMRI), is a prime example of such complex data where the utility of pattern recognition has been demonstrated in a wide range of studies recently (Haynes et al. LÄS MER