Essays about: "Spatio-Temporal"
Showing result 1 - 5 of 101 essays containing the word Spatio-Temporal.
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1. Spatio-temporal analysis of COVID-19 in Västra Götaland, Sweden
University essay from Göteborgs universitet/Institutionen för matematiska vetenskaperAbstract : 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. READ MORE
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2. Preprocessing for intravoxel incoherent motion analysis in the brain - Signal drift correction
University essay fromAbstract : 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. READ MORE
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3. Object shape and depth perception in VR
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Virtual reality (VR) for surgical training shows promise in preparing surgeons for complex procedures. However, achieving a high level of realism in VR is essential for the skills acquired to translate effectively into real-world applications. READ MORE
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4. Segmenting cruise passengers based on their spatio-temporal similarity : an approach utilising dynamic time warping
University essay from Uppsala universitet/Kulturgeografiska institutionenAbstract : 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. READ MORE
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5. Graph Neural Networks for Events Detection in Football
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Tracab’s optical tracking system allows to track the 2-dimensional trajectories of players and ball during a football game. Using this data it is possible to train machine learning models to identify events that happen during the match. READ MORE