Browsing Natural and Agricultural Sciences by Supervisor "Fabris-Rotelli, Inger Nicolette"

Browsing Natural and Agricultural Sciences by Supervisor "Fabris-Rotelli, Inger Nicolette"

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  • Assessing classification performance for sampled remote sensing data 
    Rangongo, Tshepiso Selaelo (University of Pretoria, 2022)
    The volume of big data increases daily. Big data poses challenges in storage, management, processing, analysis and visualisation. One technique of handling big data is the use of subset or sample that is good representation ...
  • Big data : a compressed sensing approach 
    Janse van Rensburg, Charl (University of Pretoria, 2017)
    In recent times Big Data has been talked about in many areas, ranging from information technology, to government and healthcare, and to business. Big Data is changing the world we live in in many respects, especially as ...
  • Dependence structures in multidimensional arrays 
    Lau, Kwok-Ho (University of Pretoria, 2016)
    In the process of data acquisition the information obtained are more than often contaminated by noise. To purify the data smoothers are designed to remove the noise. The LULU operators are such smoothers, more speci ...
  • A generic similarity test for spatial data 
    Kirsten, René (University of Pretoria, 2020)
    Two spatial data sets are considered to be similar if they originate from the same stochastic process in terms of their spatial structure. Many tests have been developed over recent years to test the similarity of certain ...
  • Markov processes in disease modelling : estimation and implementation 
    Marais, Christiaan Antonie (University of Pretoria, 2010)
    There exists a need to estimate the potential financial, epidemiological and societal impact that diseases, and the treatment thereof, can have on society. Markov processes are often used to model diseases to estimate these ...
  • Multiscale image representation in deep learning 
    Stander, Jean-Pierre (University of Pretoria, 2020)
    Deep learning is a very popular field of research which can input a variety of data types [1, 16, 30]. It is a subfield of machine learning consisting of mostly neural networks. A challenge which is very commonly met in ...
  • Multiscale spatial modeling with applications in image analysis 
    van Niekerk, Carel (University of Pretoria, 2018)
    Computer vision is a very important research area and is continuously growing. One of the prevalent research areas in computer vision is image matching. In image matching there are two main components, namely feature ...
  • An overview of sparse convex optimization 
    Modiba, Jacob Mantjitji (University of Pretoria, 2018-03)
    Sparse estimation methods are aimed at using or obtaining parsimonious representations of data or models. Optimization is seeking values of a variable that leads to an optimal value of the function that is to be optimized. ...
  • Polygon detection in images 
    Van Niekerk, Johan Magnus (University of Pretoria, 2015)
    A combination of image processing algorithms can be used to detect and extract certain objects from images. Image noise may obscure the objects in the images and must rst be removed using image denoising and smoothing ...
  • Spatial dependency between a linear network and a point pattern 
    Kunene, Thembinkosi (University of Pretoria, 2020)
    In this mini-dissertation we discuss the spatial relationship between point processes and a linear network. As a starting point, we discuss basic spatial point processes and tests for first-order homogeneity. Following that, ...
  • A spatial model with vaccinations for COVID-19 in South Africa 
    Dresselhaus, Claudia Josephina (University of Pretoria, 2023)
    Rarely has the world undertaken a public health effort equal in scale or scope to the one it faced in response to the COVID-19 pandemic. Countries around the world implemented government interventions such as lockdowns and ...
  • A spatial sampling scheme for a road network 
    Reynolds, Hayley (University of Pretoria, 2017)
    Rabies has been reported in Tanzania, mainly in the southern highland regions, since 1954. To date, rabies is endemic in all districts in Tanzania and efforts are being made to contain the disease. It was determined that ...
  • Statistical accuracy of an extraction algorithm for linear image objects 
    Thiede, Renate Nicole (University of Pretoria, 2019)
    Informal unpaved roads in developing countries arise naturally through human movement and informal housing setups. These roads are not authorised nor maintained by council, nor recorded in official databases or online maps. ...
  • Statistical distributions in general insurance stochastic processes 
    Steenkamp, Jan Hendrik Harm (University of Pretoria, 2014)
    A general insurance risk model consists of in initial reserve, the premiums collected, the return on investment of these premiums, the claims frequency and the claims sizes. Except for the initial reserve, these components ...
  • Training neural networks for informal road extraction 
    Wannenburg, Abraham Johannes (University of Pretoria, 2022-11)
    Roads found in informal settlements arise out of convenience are often not recorded or maintained by authorities. This may cause issues with service delivery, sustainable development and crisis mitigation, including ...