Sökning: "spatio-temporal analysis"
Visar resultat 1 - 5 av 49 uppsatser innehållade orden spatio-temporal analysis.
1. Spatio-temporal analysis of COVID-19 in Västra Götaland, Sweden
Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaperSammanfattning : Spatio-temporal analysis of COVID-19 data with the two different statistical approaches is the main objective of this thesis. The first classical approach, the Endemic-Epidemic framework (Held et al., 2005) is a class of multivariate time-series models for the incidence counts, obtained from the surveillance systems. LÄS MER
2. Preprocessing for intravoxel incoherent motion analysis in the brain - Signal drift correction
Master-uppsats,Sammanfattning : Diffusion magnetic resonance imaging (dMRI) is a diagnostic imaging technique that is sensitized to the movement of water molecules in tissues. Intravoxel incoherent motion (IVIM) analysis can be used to estimate blood flow in capillaries from weakly diffusion-weighted data. LÄS MER
3. Segmenting cruise passengers based on their spatio-temporal similarity : an approach utilising dynamic time warping
Kandidat-uppsats, Uppsala universitet/Kulturgeografiska institutionenSammanfattning : The present thesis utilises dynamic time warping and cluster analysis with the aim of discovering different touristic profiles. GPS data of cruise passengers intra-destination movement at the destination of Visby, Gotland, was used in the analysis. LÄS MER
4. The Power of Hydrogen: The emergent eco-social relations of the capitalist hydrogen economy
Master-uppsats, Lunds universitet/Kulturgeografi och ekonomisk geografi; Lunds universitet/Institutionen för kulturgeografi och ekonomisk geografi; Lunds universitet/HumanekologiSammanfattning : The production, use and trade of hydrogen fuels as an energy medium across different sectors – the hydrogen economy – is being articulated as a vision of the future by various global energy actors. Hydrogen’s spatio-temporal profile makes it suitable to integrate into the fossil fuel landscape and reproducing the economic power embedded within it. LÄS MER
5. Deep learning for temporal super-resolution of 4D Flow MRI
Master-uppsats, KTH/Matematik (Avd.)Sammanfattning : The accurate assessment of hemodynamics and its parameters play an important role when diagnosing cardiovascular diseases. In this context, 4D Flow Magnetic Resonance Imaging (4D Flow MRI) is a non-invasive measurement technique that facilitates hemodynamic parameter assessment as well as quantitative and qualitative analysis of three-directional flow over time. LÄS MER