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Visar resultat 1 - 5 av 334 avhandlingar som matchar ovanstående sökkriterier.
1. Models in Neutrino Physics : Numerical and Statistical Studies
Sammanfattning : The standard model of particle physics can excellently describe the vast majorityof data of particle physics experiments. However, in its simplest form, it cannot account for the fact that the neutrinos are massive particles and lepton flavorsmixed, as required by the observation of neutrino oscillations. LÄS MER
2. Deep Learning for Geo-referenced Data : Case Study: Earth Observation
Sammanfattning : The thesis focuses on machine learning methods for Earth Observation (EO) data, more specifically, remote sensing data acquired by satellites and drones. EO plays a vital role in monitoring the Earth’s surface and modelling climate change to take necessary precautionary measures. LÄS MER
3. Intelligence and models for cognitive development
Sammanfattning : This dissertation focuses on cognitive development. In papers I and II, I study a special model, the second order latent growth curve model, that can be used to study cognitive development. Algebraic expressions for the variance of the estimation of slope differences are given. LÄS MER
4. Explicit Influence Analysis in Crossover Models
Sammanfattning : This dissertation develops influence diagnostics for crossover models. Mixed linear models and generalised mixed linear models are utilised to investigate continuous and count data from crossover studies, respectively. LÄS MER
5. Travelling Business Models : On adapting business models to new contexts
Sammanfattning : How business models are configured can provide one solution to bringing forward sustainable innovations and transforming businesses and industries so that they become more sustainable. Creating a shift in the energy sector’s use of renewable sources is of particular importance since the energy sector is the source of one-fourth of all global greenhouse gas emissions. LÄS MER