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Visar resultat 1 - 5 av 181 avhandlingar som matchar ovanstående sökkriterier.
1. Situation awareness in pervasive computing systems : reasoning, verification, prediction
Sammanfattning : The paradigm of pervasive computing aims to integrate the computing technologies in a graceful and transparent manner, and make computing solutions available anywhere and at any time. Different aspects of pervasive computing, like smart homes, smart offices, social networks, micromarketing applications, PDAs are becoming a part of everyday life. LÄS MER
2. Population-based prediction of atrial fibrillation
Sammanfattning : Background: Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia and increases in prevalence. As AF confers increased risk of morbidity, stroke, dementia and mortality, a major objective of cardiovascular epidemiology today is the development of tools for prediction and prevention of AF and its consequences. LÄS MER
3. Context reasoning, context prediction and proactive adaptation in pervasive computing systems
Sammanfattning : The paradigm of pervasive computing aims to integrate the computing technologies in a graceful and transparent manner, and make computing solutions available anywhere and at any time. Different aspects of pervasive computing, like smart homes, smart offices, social networks, micromarketing applications, PDAs, etc. LÄS MER
4. Handling severe uncertainty in strategic project appraisal : Methods and applications of context analysis
Sammanfattning : The long-term success or failure of a strategic project is largely shaped by its context. Therefore, the assessment of the external factors influencing the fulfilment of project long-term goals is vital for the effective project appraisal and planning. LÄS MER
5. Forecast: Crime with a chance of feeling unsafe : Examining unsafety (crime and fear of crime) within the context of the surrounding environment
Sammanfattning : In environmental criminology, various methods exist to forecast unsafety. Some are more complex than others. To determine their practicality, we must compare the accuracy of simple, transparent, and functional methods with slightly more complex methods and those requiring more data collection. LÄS MER