Browsing by Supervisor "Fabris-Rotelli, Inger"

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Browsing by Supervisor "Fabris-Rotelli, Inger"

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  • Approximate Bayesian computation for a spatial susceptible-exposed-infectious-removed model 
    Potgieter, Arminn (University of Pretoria, 2021-10)
    In this mini-dissertation we utilize population mobility data and COVID-19 case data in a variety of formats, from a variety of sources, in order to formulate a model for the spatial spread of COVID-19. The study region ...
  • Bayesian object classification in nanoimages 
    Haywood, Andries Stefan (University of Pretoria, 2017)
    In this mini-dissertation the importance of having an automated object classification procedure for classifying nanoparticles in nanoscale images (or referred to as nanoimages in this mini-dissertation) is discussed, and ...
  • Covariate construction of nonconvex windows for spatial point pattern data 
    Mahloromela, Kabelo (University of Pretoria, 2020)
    In the field of spatial statistics, window selection for point pattern data is a complex process. In some cases, the point pattern window is given a priori when a local phenomena is studied. In other cases, a researcher ...
  • Describing heterogeneity in spatial point processes 
    Kraamwinkel, Christine (University of Pretoria, 2017)
    In this mini-dissertation we briefly describe the context and development of spatial statistics, spatial sampling and point patterns. Thereafter spatial homogeneity is considered in detail. Before selecting an appropriate ...
  • A LULU noise removal algorithm for images using principal component analysis 
    Papavarnavas, Christine (University of Pretoria, 2018)
    There are various methods to efficiently denoise an image, one method is Principle Component Analysis (PCA). Classical PCA reduces the dimensionality of a dataset, transforming the original dataset to preserve only significant ...
  • Spatial-temporal topic modelling of COVID-19 tweets in South Africa 
    Jafta, Papama Hlumela Gandhi (University of Pretoria, 2023-12-07)
    In the era of social media, the analysis of Twitter data has become increasingly important for understanding the dynamics of online discourse. This research introduces a novel approach for tracking the spatial and temporal ...